Book Image

Hadoop Real-World Solutions Cookbook

By : Jonathan R. Owens, Jon Lentz, Brian Femiano
Book Image

Hadoop Real-World Solutions Cookbook

By: Jonathan R. Owens, Jon Lentz, Brian Femiano

Overview of this book

<p>Helping developers become more comfortable and proficient with solving problems in the Hadoop space. People will become more familiar with a wide variety of Hadoop related tools and best practices for implementation.</p> <p>Hadoop Real-World Solutions Cookbook will teach readers how to build solutions using tools such as Apache Hive, Pig, MapReduce, Mahout, Giraph, HDFS, Accumulo, Redis, and Ganglia.</p> <p>Hadoop Real-World Solutions Cookbook provides in depth explanations and code examples. Each chapter contains a set of recipes that pose, then solve, technical challenges, and can be completed in any order. A recipe breaks a single problem down into discrete steps that are easy to follow. The book covers (un)loading to and from HDFS, graph analytics with Giraph, batch data analysis using Hive, Pig, and MapReduce, machine learning approaches with Mahout, debugging and troubleshooting MapReduce, and columnar storage and retrieval of structured data using Apache Accumulo.<br /><br />Hadoop Real-World Solutions Cookbook will give readers the examples they need to apply Hadoop technology to their own problems.</p>
Table of Contents (17 chapters)
Hadoop Real-World Solutions Cookbook
Credits
About the Authors
About the Reviewers
www.packtpub.com
Preface
Index

Credits

Authors

Jonathan R. Owens

Jon Lentz

Brian Femiano

Reviewers

Edward J. Cody

Daniel Jue

Bruce C. Miller

Acquisition Editor

Robin de Jongh

Lead Technical Editor

Azharuddin Sheikh

Technical Editor

Dennis John

Copy Editors

Brandt D'Mello

Insiya Morbiwala

Aditya Nair

Alfida Paiva

Ruta Waghmare

Project Coordinator

Abhishek Kori

Proofreader

Stephen Silk

Indexer

Monica Ajmera Mehta

Graphics

Conidon Miranda

Layout Coordinator

Conidon Miranda

Cover Work

Conidon Miranda