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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

AWS considerations


We've not mentioned AWS so far in this chapter as there's been nothing in Sqoop that either supports or prevents its use on AWS. We can run Sqoop on an EC2 host as easily as on a local one, and it can access either a manually or EMR-created Hadoop cluster optionally running Hive. The only possible quirk when considering use in AWS is security group access as many default EC2 configurations will not allow traffic on the ports used by most relational databases (3306 by default for MySQL). But, that's no more of an issue than if our Hadoop cluster and MySQL database were to be located on different sides of a firewall or any other network security boundary.

Considering RDS

There is another AWS service that we've not mentioned before that does deserve an introduction now. Amazon Relational Database Service (RDS) offers hosted relational databases in the cloud and provides MySQL, Oracle, and Microsoft SQL Server options. Instead of having to worry about the installation, configuration...

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