Hadoop Fundamentals LiveLessons 2nd Edition

English | .MP4 | h264, yuv420p, 1280x720, 30.00 fps(r) | aac, 44100 Hz, stereo | 2.9 GB

Genre: E-learning

7+ Hours of Video Instruction. Hadoop Fundamentals LiveLessons provides users, developers, and administrators with a practical introduction to the many facets of Hadoop Versions 1 and 2.

Hadoop Fundamentals LiveLessons provides 7+ hours of video introduction to the Apache Hadoop (Versions 1 and 2) 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, C++ 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 Hadoop Version 1 MapReduce and the new Hadoop Version 2 MapReduce Framework are highlighted.

Skill Level

Beginner

Intermediate

What You Will Learn

Hadoop design and components

How the MapReduce process works in Hadoop

The differences between and advantages of Hadoop Versions 1 and 2

Key aspects of the new YARN design and Frameworks

How to use, administer, and program HDFS

How to run and administer Hadoop programs

How to write basic MapReduce programs

How to install Hadoop on a laptop/desktop, on a cluster, or in the Cloud

How to run Apache Pig, Hive, Flume, Sqoop, and Oozie applications

How to install and administer Hadoop with the Apache Ambari GUI tool

More Info