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

What we did and didn't cover in this book


With our focus on beginners, the aim of this book was to give you a strong grounding in the core Hadoop concepts and tools. In addition, we provided experiences with some other tools that help you integrate the technology into your infrastructure.

Though Hadoop started as the single core product, it's fair to say that the ecosystem surrounding Hadoop has exploded in recent years. There are alternative distributions of the technology, some providing commercial custom extensions. There are a plethora of related projects and tools that build upon Hadoop and provide specific functionality or alternative approaches to existing ideas. It's a really exciting time to get involved with Hadoop; let's take a quick tour of what is out there.

Note

Note, of course, that any overview of the ecosystem is both skewed by the author's interests and preferences and outdated the moment it is written. In other words, don't for a moment think this is all that's available...