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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

Chapter 7. Keeping Things Running

Having a Hadoop cluster is not all about writing interesting programs to do clever data analysis. You also need to maintain the cluster, and keep it tuned and ready to do the data crunching you want.

In this chapter we will cover:

  • More about Hadoop configuration properties

  • How to select hardware for your cluster

  • How Hadoop security works

  • Managing the NameNode

  • Managing HDFS

  • Managing MapReduce

  • Scaling the cluster

Although these topics are operationally focused, they do give us an opportunity to explore some aspects of Hadoop we have not looked at before. Therefore, even if you won't be personally managing the cluster, there should be useful information here for you too.

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