Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – WordCount on EMR using the management console


Let's jump straight into an example on EMR using some provided example code. Carry out the following steps:

  1. Browse to http://aws.amazon.com, go to Developers | AWS Management Console, and then click on the Sign in to the AWS Console button. The default view should look like the following screenshot. If it does not, click on Amazon S3 from within the console.

  2. As shown in the preceding screenshot, click on the Create bucket button and enter a name for the new bucket. Bucket names must be globally unique across all AWS users, so do not expect obvious bucket names such as mybucket or s3test to be available.

  3. Click on the Region drop-down menu and select the geographic area nearest to you.

  4. Click on the Elastic MapReduce link and click on the Create a new Job Flow button. You should see a screen like the following screenshot:

  5. You should now see a screen like the preceding screenshot. Select the Run a sample application radio button and...