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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 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

Time for action – running UFO analysis on EMR


Let us explore the use of EMR with Hive by doing some UFO analysis on the platform.

  1. Log in to the AWS management console at http://aws.amazon.com/console.

  2. Every Hive job flow on EMR runs from an S3 bucket and we need to select the bucket we wish to use for this purpose. Select S3 to see the list of the buckets associated with your account and then choose the bucket from which to run the example, in the example below, we select the bucket called garryt1use.

  3. Use the web interface to create three directories called ufodata, ufoout, and ufologs within that bucket. The resulting list of the bucket's contents should look like the following screenshot:

  4. Double-click on the ufodata directory to open it and within it create two subdirectories called ufo and states.

  5. Create the following as s3test.hql, click on the Upload link within the ufodata directory, and follow the prompts to upload the file:

    CREATE EXTERNAL TABLE IF NOT EXISTS ufodata(sighted string, reported...
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