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

Data data everywhere...


In discussions concerning integration of Hadoop with other systems, it is easy to think of it as a one-to-one pattern. Data comes out of one system, gets processed in Hadoop, and then is passed onto a third.

Things may be like that on day one, but the reality is more often a series of collaborating components with data flows passing back and forth between them. How we build this complex network in a maintainable fashion is the focus of this chapter.

Types of data

For the sake of the discussion, we will categorize data into two broad categories:

  • Network traffic, where data is generated by a system and sent across a network connection

  • File data, where data is generated by a system and written to files on a filesystem somewhere

We don't assume these data categories are different in any way other than how the data is retrieved.

Getting network traffic into Hadoop

When we say network data, we mean things like information retrieved from a web server via an HTTP connection, database...