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Web Links: Hadoop Fundamentals - Training

Guttitech.com E learning Hadoop Fundamentals
Guttitech.com E learning Hadoop Fundamentals

Hadoop Fundamentals LiveLessons provides more than 7 hours of video introduction to the Apache Hadoop Big Data ecosystem. The tutorial includes background information and explains the core components of Hadoop including Hadoop Distributed File Systems HDFS MapReduce, the new YARN resource manager and YARN Frameworks. In addition it demonstrates how to use Hadoop at several levels including the native Java interface Cplusplus pipes and the universal streaming program interface. Examples include how to use benchmarks and high_level tools including the Apache Pig scripting language Apache Hive SQL-like interface Apache Flume for streaming input Apache Sqoop for import and export of relational data and Apache Oozie for Hadoop workflow management. The steps for easily installing a working Hadoop system on a desktop laptop in a Cloud environment, and on a local stand-alone cluster are presented. Installation and administration examples using the powerful Ambari GUI are also included. All software used in these LiveLessons is open source and freely available for your use and experimentation. Finally the important differences between Hadoopv1 MapReduce and the new Hadoop Version 2 MapReduce Framework are highlighted.

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Course Contents

Lesson Description
Section 1 Introduction
Lesson 01 Introduction to Hadoop Fundamentals
Section 2 Background Concepts
Lesson 02 Background Concepts_Learning Objectives
Lesson 03 Understand the problem Hadoop Solves
Lesson 04 Understand the Hadoop Approach v1
Lesson 05 Understand the Hadoop Approach v2
Lesson 06 Understand the Hadoop Project
Section 3 Running Hadoop on a Desktop or Laptop
Lesson 07 Learning Objectives
Lesson 08 Install HortonWorks HDP Sandbox
Section 4 Hadoop Distributed File System
Lesson 09 Learning Objectives
Lesson 10 Understand HDFS Basics
Lesson 11 Use HDFS Tools
Lesson 12 Do HDFS Administration
Lesson 13 Use HDFS in programs
Lesson 13 Use HDFS in programs
Section 5 Hadoop Mapreduce
Lesson 14 Learning Objectives
Lesson 14 Learning Objectives
Lesson 15 Understand the MapReduce paradigm
Lesson 16 Develop and run a Java MapReduce application
Lesson 17 Understand how MapReduce works
Section 6 Hadoop Examples
Lesson 18 Learning Objectives
Lesson 19 Use the Streaming Interface
Lesson 20 Use the Pipes Interface
Lesson 21 Run the Hadoop grep example
Lesson 22 Debug MapReduce
Section 7 Higher Level Tools
Lesson 23 Learning Objectives
Lesson 24 Use Pig
Lesson 25 Use Hive
Section 8 Setting Up Hadoop in the Cloud
Lesson 26 Learning Objectives
Lesson 27 Use Whirr to launch Hadoop in the Cloud
Section 9 Set Up Hadoop on a Local Cluster
Lesson 28 Learning Objectives
Lesson 29 Specify and prepare servers
Lesson 30 Install and configure Hadoop Core
Lesson 31 Install and configure Pig and Hive
Lesson 32 Install and configure Ganglia
Lesson 33 Perform simple administration and monitoring
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