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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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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 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

Using Elastic MapReduce


We will now turn to Hadoop in the cloud, the Elastic MapReduce service offered by Amazon Web Services. There are multiple ways to access EMR, but for now we will focus on the provided web console to contrast a full point-and-click approach to Hadoop with the previous command-line-driven examples.

Setting up an account in Amazon Web Services

Before using Elastic MapReduce, we need to set up an Amazon Web Services account and register it with the necessary services.

Creating an AWS account

Amazon has integrated their general accounts with AWS, meaning that if you already have an account for any of the Amazon retail websites, this is the only account you will need to use AWS services.

Note that AWS services have a cost; you will need an active credit card associated with the account to which charges can be made.

If you require a new Amazon account, go to http://aws.amazon.com, select create a new AWS account, and follow the prompts. Amazon has added a free tier for some services...

You have been reading a chapter from
Hadoop Beginner's Guide
Published in: Feb 2013
Publisher: Packt
ISBN-13: 9781849517300
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