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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

Chapter 5. Advanced MapReduce Techniques

Now that we have looked at a few details of the fundamentals of MapReduce and its usage, it's time to examine some more techniques and concepts involved in MapReduce. This chapter will cover the following topics:

Performing joins on data
Implementing graph algorithms in MapReduce
How to represent complex datatypes in a language-independent fashion

Along the way, we'll use the case studies as examples in order to highlight other aspects such as tips and tricks and identifying some areas of best practice.

The rest of the chapter is locked

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