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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 2. Getting Hadoop Up and Running

Now that we have explored the opportunities and challenges presented by large-scale data processing and why Hadoop is a compelling choice, it's time to get things set up and running.

In this chapter, we will do the following:

Learn how to install and run Hadoop on a local Ubuntu host
Run some example Hadoop programs and get familiar with the system
Set up the accounts required to use Amazon Web Services products such as EMR
Create an on-demand Hadoop cluster on Elastic MapReduce
Explore the key differences between a local and hosted Hadoop cluster

You have been reading a chapter from

Hadoop Beginner's Guide

Published in: Feb 2013

Publisher: Packt

ISBN-13: 9781849517300

© 2013 Packt Publishing Limited All Rights Reserved

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