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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.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About FREE CHAPTER 2. Getting Hadoop Up and Running 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

Hadoop on a local Ubuntu host


For our exploration of Hadoop outside the cloud, we shall give examples using one or more Ubuntu hosts. A single machine (be it a physical computer or a virtual machine) will be sufficient to run all the parts of Hadoop and explore MapReduce. However, production clusters will most likely involve many more machines, so having even a development Hadoop cluster deployed on multiple hosts will be good experience. However, for getting started, a single host will suffice.

Nothing we discuss will be unique to Ubuntu, and Hadoop should run on any Linux distribution. Obviously, you may have to alter how the environment is configured if you use a distribution other than Ubuntu, but the differences should be slight.

Other operating systems

Hadoop does run well on other platforms. Windows and Mac OS X are popular choices for developers. Windows is supported only as a development platform and Mac OS X is not formally supported at all.

If you choose to use such a platform, the...

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