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DEMO - Hadoop Fundamentals Course
DEMO - Hadoop Fundamentals CourseBig Data Courses |
| Categories | Most Recent | Top Rated | Popular Courses |
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| Superadmin | 09.03.16 | 944 |  |
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| Description | ||||
| 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. 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 Part 1 Lesson 09 Install HortonWorks HDP Sandbox Part 2 Section 4 Hadoop Distributed File System Lesson 10 Learning Objectives Lesson 11 Understand HDFS Basics Lesson 12 Use HDFS Tools and do Administration Lesson 13 Use HDFS in programs Lesson 14 Utilize additional Features of Hadoop Section 5 Hadoop Mapreduce Lesson 15 Learning Objectives Lesson 16 Understand the MapReduce paradigm Lesson 17 Develop and run a Java MapReduce application Lesson 18 Understand how MapReduce works Section 6 Hadoop Examples Lesson 19 Learning Objectives Lesson 20 Use the Streaming Interface Lesson 21 Use the Pipes Interface Lesson 22 Run the Hadoop grep example Lesson 23 Debug MapReduce Lesson 24 Understand Hadoop v2 MapReduce Lesson 25 Use Hadoop Version 2 - Features Part 1 Lesson 26 Use Hadoop Version 2 - Features Part 2 Section 7 Higher Level Tools Lesson 27 Learning Objectives Lesson 28 Demonstrate a Pig example Lesson 29 Demonstrate Hive example Lesson 30 Demonstrate Apache Flume Part 1 Lesson 31 Demonstrate Apache Flume Part 2 Lesson 32 Demonstrate an Apache Sqoop example Part 1 Lesson 33 Demonstrate an Apache Sqoop Part 2 Lesson 34 Demonstrate an Apache Oozie example Part 1 Lesson 35 Demonstrate an Apache Oozie Part 2 Section 8 Setting Up Hadoop in the Cloud Lesson 36 Learning Objectives Lesson 37 Use Whirr to launch Hadoop in the Cloud Section 9 Set Up Hadoop on a Local Cluster Lesson 38 Learning Objectives Lesson 39 Specify and prepare servers Lesson 40 Install and configure Hadoop Core Lesson 41 Install and configure Pig and Hive Lesson 42 Install and configure Ganglia Lesson 43 Perform simple administration and monitoring Lesson 44 Installing of Apache Ambari Lesson 45 Perform Simple Administration using Ambari Part 1 Lesson 46 Perform Simple Administration using Ambari Part 2 | ||||
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