CCA 175 Spark And Hadoop Developer Certification Scala
Posted by Superadmin on November 15 2020 12:51:09

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


01001 CCA 175 Spark and Hadoop Developer - Curriculum


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


01001 Introduction-to-the-course.txt


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


01002 About-big-data-labs.txt


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


01002 Using labs for preparation


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02003 Introduction and Setting up of Scala


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02003 Scala-Fundamentals-Introduction-and-Setting-up.txt


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02003 ScalaFundamentals.pptx


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02004 Setup Scala on Windows


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02005 Basic Programming Constructs


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02006 Functions


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02007 Object Oriented Concepts - Classes


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02008 Object Oriented Concepts - Objects


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02009 Object Oriented Concepts - Case Classes


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02010 Collections - Seq Set and Map


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02011 Basic Map Reduce Operations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02012 Setting up Data Sets for Basic IO Operations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02013 Basic IO Operations and using Scala Collections APIs


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02014 Tuples


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02015 Development Cycle - Developing Source code


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02016 Development Cycle - Compile source code to jar using SBT


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02017 Development Cycle - Setup SBT on Windows


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02018 Development Cycle - Compile changes and run jar with arguments


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02019 Development Cycle - Setup IntelliJ with Scala


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


02020 Development Cycle - Develop Scala application using SBT in IntelliJ


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03021 Introduction and Curriculum


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03022 Setup Environment - Options


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03023 Setup Environment - Locally


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03024 Setup Environment - using Cloudera Quickstart VM


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03025 Using itversitys big data labs


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03026 Using Windows - Putty and WinSCP


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03027 Using Windows - Cygwin


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03028 HDFS Quick Preview


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03029 YARN Quick Preview


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


03030 Setup Data Sets


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04031 Introduction and Objectives


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04032 Accessing Sqoop Documentation


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04033 Preview of MySQL on labs


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04034 Sqoop connect string and validating using list commands


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04035 Run queries in MySQL using eval


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04036 Sqoop Import - Simple Import


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04037 Sqoop Import - Execution Life Cycle


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04038 Sqoop Import - Managing Directories


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04039 Sqoop Import - Using split by


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04040 Sqoop Import - auto reset to one mapper


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04041 Sqoop Import - Different file formats


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04042 Sqoop Import - Using compression


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04043 Sqoop Import - Using Boundary Query


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04044 Sqoop Import - columns and query


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04045 Sqoop Import - Delimiters and handling nulls


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04046 Sqoop Import - Incremental Loads


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04047 Sqoop Import - Hive - Create Hive Database


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04048 Sqoop Import - Hive - Simple Hive Import


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04049 Sqoop Import - Hive - Managing Hive tables


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04050 Sqoop Import - Import all tables


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04051 Role of Sqoop in typical data processing life cycle


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04052 Sqoop Export - Simple export with delimiters


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04053 Sqoop Export - Understanding export behaviour


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04054 Sqoop Export - Column Mapping


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04055 Sqoop Export - Update and Upsert


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


04056 Sqoop Export - Stage Tables


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05057 Introduction


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05058 Introduction to Spark


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05059 Setup Spark on Windows


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05060 Quick overview about Spark


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05061 Initializing Spark job using spark-shell


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05062 Create Resilient Distributed Data Sets (RDD)


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05063 Previewing data from RDD


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05064 Reading different file formats - Brief overview using JSON


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05065 Transformations Overview


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05066 Manipulating Strings as part of transformations using Scala


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05067 Row level transformations using map


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05068 Row level transformations using flatMap


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05069 Filtering the data


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05070 Joining data sets - inner join


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05071 Joining data sets - outer join


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05072 Aggregations - Getting Started


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05073 Aggregations - using actions (reduce and countByKey)


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05074 Aggregations - understanding combiner


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05075 Aggregations using groupByKey - least preferred API for aggregations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05076 Aggregations using reduceByKey


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05077 Aggregations using aggregateByKey


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05078 Sorting data using sortByKey


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05079 Global Ranking - using sortByKey with take and takeOrdered


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05080 By Key Ranking - Converting (K V) pairs into (K IterableV) using groupByKey


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05081 Get topNPrices using Scala Collections API


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05082 Get topNPricedProducts using Scala Collections API


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05083 Get top n products by category using groupByKey flatMap and Scala function


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05084 Set Operations - union intersect distinct as well as minus


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05085 Save data in Text Input Format


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05086 Save data in Text Input Format using Compression


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05087 Saving data in standard file formats - Overview


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05088 Revision of Problem Statement and Design the solution


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05089 Solution - Get Daily Revenue per Product - Launching Spark Shell


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05090 Solution - Get Daily Revenue per Product - Read and join orders and order_items


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05091 Solution - Get Daily Revenue per Product - Compute daily revenue per product id


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05092 Solution - Get Daily Revenue per Product - Read products data and create RDD


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05093 Solution - Get Daily Revenue per Product - Sort and save to HDFS


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05094 Solution - Add spark dependencies to sbt


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05095 Solution - Develop as Scala based application


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05096 Solution - Run locally using spark-submit


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


05097 Solution-Ship-and-run-it-on-big-data-cluster


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60098 Different interfaces to run Hive queries


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60098 Different interfaces to run Hive queries


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60099 Create Hive tables and load data in text file format


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60100 Create Hive tables and load data in ORC file format


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60101 Using spark-shell to run Hive queries or commands<


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60102 Functions - Getting Started


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60103 Functions - Manipulating Strings


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60104 Functions - Manipulating Dates


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60105 Functions - Aggregations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60106 Functions - CASE


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60107 Row level transformations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60108 Joins


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60109 Aggregations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60110 Sorting


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60111 Set Operations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60112 Analytics Functions - Aggregations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60113 Analytics Functions - Ranking


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60114 Windowing Functions


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60115 Create Data Frame and Register as Temp table


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60116 Writing Spark SQL Applications - process data


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60117 Writing Spark SQL Applications - Save data into Hive tables


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


60118 Data Frame Operations


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70119 Introduction


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70120 Flume - Getting Started


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70121 Flume - Web Server Logs to HDFS - Introduction


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70122 Flume - Web Server Logs to HDFS - Setup Data
h


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70123 Flume - Web Server Logs to HDFS - Source exec


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70124 Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70125 Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70126 Flume - Web Server Logs to HDFS - Deep dive to memory channel


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70127 Kafka - Getting Started - High Level Architecture


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70128 Kafka - Getting Started - Produce and consume messages using commands


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70129 Kafka - Anatomy of a topic


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70130 Flume and Kafka in Streaming analytics


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70131 Spark Streaming - Getting Started


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70132 Spark Streaming - Setting up netcat


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70133 Spark Streaming - Develop Word Count program


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70134 Spark Streaming - Ship and run word count program on the cluster


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70135 Spark Streaming - Data Structure (DStream) and APIs overview


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70136 Spark Streaming - Get department wise traffic - Problem Statement


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70137 Spark Streaming - Get department wise traffic - Development


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70138 Spark Streaming - Get department wise traffic - Run on the cluster


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70139 Flume and Spark Streaming - Department Wise Traffic - Setup Flume


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70140 Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70141 Flume and Spark Streaming - Department Wise Traffic - Develop and build


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70142 Flume and Spark Streaming - Department Wise Traffic - Run and Validate


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70143 Flume and Kafka integration - Develop configuration file


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70144 Flume and Kafka integration - Run and validate


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70145 Kafka and Spark Streaming - Add dependencies


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70146 Kafka and Spark Streaming - Develop and build application


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


70147 Kafka and Spark Streaming - Run and Validate


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80148 Introduction to Sample Scenarios and Solutions


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80149 Problem Statements - General Guidelines


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80150 Initializing the job - General Guidelines


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80151 Getting crime count per type per month - Understanding Data


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80152 Getting crime count per type per month - Implementing the logic - Core API


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80153 Getting crime count per type per month - Implementing the logic - Data Frames


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80154 Getting crime count per type per month - Validating Output


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80155 Get inactive customers - using Core Spark API (leftOuterJoin)


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80156 Get inactive customers - using Data Frames and SQL


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80157 Get top 3 crimes in RESIDENCE - using Core Spark API


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80158 Get top 3 crimes in RESIDENCE - using Data Frame and SQL


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80159 Convert NYSE data from text file format to parquet file format


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions

CCA 175 – Spark And Hadoop Developer Certification – Scala

Created by Durga Viswanatha Raju Gadiraju, Sunil Abhishek, Vinod Nerella, Koushik M L N, Perraju Vegiraju, Balusai


80160 Get word count - with custom control arguments num keys and file format


Who this course is for

Any IT aspirant/professional willing to learn Big Data and give CCA 175 certification


Description

CCA 175 Spark and Hadoop Developer is one of the well recognized Big Data certification. This scenario based certification exam demands basic programming using Python or Scala along with Spark and other Big Data technologies. This comprehensive course covers all aspects of the certification using Scala as programming language. Scala Fundamentals Core Spark – Transformations and Actions Spark SQL and Data Frames File formats Flume, Kafka and Spark Streaming Apache Sqoop Exercises will be provided to prepare before attending the certification. Intention of the course is to boost the confidence to attend the certification.



What you will learn:
  • Entire curriculum of CCA Spark and Hadoop Developer
  • Apache Sqoop
  • HDFS
  • Scala Fundamentals
  • Core Spark – Transformations and Actions
  • Spark SQL and Data Frames
  • Streaming analytics using Kafka, Flume and Spark Streaming
Requirements:
  • Basic programming skills
  • Cloudera Quickstart VM or valid account for IT Versity Big Data labs or any Hadoop clusters where Hadoop, Hive and Spark are well integrated.
  • Minimum memory required based on the environment you are using with 64 bit operating system
      
Course Contents
01 Introduction 02 Scala Fundamentals 03 Getting Started 04 Data Ingestion - Apache Sqoop 05 Transform Stage and Store - Spark 06 Data Analysis - Spark SQL or HiveQL 07 Data Ingest - real time near real time and streaming analytics 08 Sample scenarios with solutions