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Hadoop Beginner's Guide

You're reading from Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

Product type Paperback

Published in Feb 2013

Publisher Packt

ISBN-13 9781849517300

Length 398 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (19) Chapters

Hadoop Beginner's Guide

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. What It's All About

2. Getting Hadoop Up and Running FREE CHAPTER

3. Understanding MapReduce

4. Developing MapReduce Programs

5. Advanced MapReduce Techniques

6. When Things Break

7. Keeping Things Running

8. A Relational View on Data with Hive

9. Working with Relational Databases

10. Data Collection with Flume

11. Where to Go Next

Pop Quiz Answers

Index

Summary

In this chapter, we took a quick gallop around the broader Hadoop ecosystem. We looked at the upcoming changes in Hadoop, particularly HDFS high availability and YARN, why alternative Hadoop distributions exist and some of the more popular ones, and other Apache projects that provide capabilities, extensions, or Hadoop supporting tools.

We also looked at the alternative ways of writing or creating Hadoop jobs and sources of information and how to connect with other enthusiasts.

Now go have fun and build something amazing!

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