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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

Other Apache projects


Whether you use a bundled distribution or stick with the base Apache Hadoop download, you will encounter many references to other, related Apache projects. We have covered Hive, Sqoop, and Flume in this book; we'll now highlight some of the others.

Note that this coverage seeks to point out the highlights (from my perspective) as well as give a taste of the wide range of the types of projects available. As before, keep looking out; there will be new ones launching all the time.

HBase

Perhaps the most popular Apache Hadoop-related project that we didn't cover in this book is HBase ; its homepage is at http://hbase.apache.org. Based on the BigTable model of data storage publicized by Google in an academic paper (sound familiar?), HBase is a non-relational data store sitting atop HDFS.

Whereas both MapReduce and Hive tasks focus on batch-like data access patterns, HBase instead seeks to provide very low latency access to data. Consequently, HBase can, unlike the already mentioned...

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