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Learning Hadoop 2

Learning Hadoop 2

By : GABRIELE MODENA
3.8 (4)
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Learning Hadoop 2

Learning Hadoop 2

3.8 (4)
By: GABRIELE MODENA

Overview of this book

If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
Table of Contents (13 chapters)
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12
Index

Chapter 3. Processing – MapReduce and Beyond

In Hadoop 1, the platform had two clear components: HDFS for data storage and MapReduce for data processing. The previous chapter described the evolution of HDFS in Hadoop 2 and in this chapter we'll discuss data processing.

The picture with processing in Hadoop 2 has changed more significantly than has storage, and Hadoop now supports multiple processing models as first-class citizens. In this chapter we'll explore both MapReduce and other computational models in Hadoop2. In particular, we'll cover:

  • What MapReduce is and the Java API required to write applications for it
  • How MapReduce is implemented in practice
  • How Hadoop reads data into and out of its processing jobs
  • YARN, the Hadoop2 component that allows processing beyond MapReduce on the platform
  • An introduction to several computational models implemented on YARN
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