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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

Setting up MySQL

Before reading and writing data from a relational database, we need a running relational database. We will use MySQL in this chapter because it is freely and widely available and many developers have used it at some point in their career. You can of course use any RDBMS for which a JDBC driver is available, but if you do so, you'll need to modify the aspects of this chapter that require direct interaction with the database server.

The rest of the chapter is locked

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