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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Summary


In this chapter, we took a quick gallop around the broader Hadoop ecosystem, looking at the following topics:

  • Why alternative Hadoop distributions exist and some of the more popular ones

  • Other projects that provide capabilities, extensions, or Hadoop supporting tools

  • Alternative ways of writing or creating Hadoop jobs

  • Sources of information and how to connect with other enthusiasts

Now, go have fun and build something amazing!

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