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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 2. Storage FREE CHAPTER 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

This chapter gave a whirlwind tour of where Hadoop came from, its evolution, and why the version 2 release is such a major milestone. We also described the emerging market in Hadoop distributions and how we will use a combination of local and cloud distributions in the book.

Finally, we described how to set up the needed software, accounts, and environments required in subsequent chapters and demonstrated how to pull data from the Twitter stream that we will use for examples.

With this background out of the way, we will now move on to a detailed examination of the storage layer within Hadoop.

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