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

Simple, advanced, and in-between


Including the word "advanced" in a chapter title is a little dangerous, as complexity is a subjective concept. So let's be very clear about the material covered here. We don't, for even a moment, suggest that this is the pinnacle of distilled wisdom that would otherwise take years to acquire. Conversely, we also don't claim that some of the techniques and problems covered in this chapter will have occurred to someone new to the world of Hadoop.

For the purposes of this chapter, therefore, we use the term "advanced" to cover things that you don't see in the first days or weeks, or wouldn't necessarily appreciate if you did. These are some techniques that provide both specific solutions to particular problems but also highlight ways in which the standard Hadoop and related APIs can be employed to address problems that are not obviously suited to the MapReduce processing model. Along the way, we'll also point out some alternative approaches that we don't implement...