Free Trial

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

Overview

Recipes for analyzing large and complex data sets with Hadoop MapReduce

  • Learn to process large and complex data sets, starting simply, then diving in deep

  • Solve complex big data problems such as classifications, finding relationships, online marketing and recommendations

  • More than 50 Hadoop MapReduce recipes, presented in a simple and straightforward manner, with step-by-step instructions and real world examples

In Detail

We are facing an avalanche of data. The unstructured data we gather can contain many insights that might hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop MapReduce is one of the most highly sought after skills in today's job market.

""Hadoop MapReduce Cookbook"" is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces you to simple examples and then dives deep to solve in-depth big data use cases.

""Hadoop MapReduce Cookbook"" presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.

Start with how to install, then configure, extend, and administer Hadoop. Then write simple examples, learn MapReduce patterns, harness the Hadoop landscape, and finally jump to the cloud.

The book deals with many exciting topics such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations.

""Hadoop MapReduce Cookbook"" teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.

Subscriber Reviews

Average Rating: 1 out of 5 rating Based on 1 Rating

"Very poor on details" - by mhansen on 10-DEC-2013
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
If you are new to Hadoop MR and are trying to learn, don't bother, there is not much depth to the content. Also, it would not be very usable as a reference book as breadth of content is limited.

Report as Inappropriate

Table of Contents

 

Extras

The publisher has provided additional content related to this title.


Description
Content

Downloading the example code for this book

  • You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com.
  • If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.