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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

Product type Paperback

Published in Feb 2015

Publisher Packt

ISBN-13 9781783285518

Length 382 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (13) Chapters

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

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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