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Srinath Perera - Hadoop MapReduce Cookbook

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Srinath Perera Hadoop MapReduce Cookbook

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Recipes for analyzing large and complex datasets with Hadoop MapReduce Overview 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 todays 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. What you will learn from this book How to install Hadoop MapReduce and HDFS to begin running examples How to configure and administer Hadoop and HDFS securely Understanding the internals of Hadoop and how Hadoop can be extended to suit your needs How to use HBase, Hive, Pig, Mahout, and Nutch to get things done easily and efficiently How to use MapReduce to solve many types of analytics problems Solve complex problems such as classifications, finding relationships, online marketing, and recommendations Using MapReduce for massive text data processing How to use cloud environments to perform Hadoop computation Approach Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. Who this book is written for If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.

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Hadoop MapReduce Cookbook

Hadoop MapReduce Cookbook

Copyright 2013 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: January 2013

Production Reference: 1210113

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-84951-728-7

www.packtpub.com

Cover Image by J.Blaminsky (<>)

Credits

Authors

Srinath Perera

Thilina Gunarathne

Reviewers

Masatake Iwasaki

Shinichi Yamashita

Acquisition Editor

Robin de Jongh

Lead Technical Editor

Arun Nadar

Technical Editors

Vrinda Amberkar

Dennis John

Dominic Pereira

Project Coordinator

Amey Sawant

Proofreader

Mario Cecere

Indexer

Hemangini Bari

Graphics

Valentina D'Silva

Production Coordinator

Arvindkumar Gupta

Cover Work

Arvindkumar Gupta

About the Authors

Srinath Perera is a Senior Software Architect at WSO2 Inc., where he overlooks the overall WSO2 platform architecture with the CTO. He also serves as a Research Scientist at Lanka Software Foundation and teaches as a visiting faculty at Department of Computer Science and Engineering, University of Moratuwa. He is a co-founder of Apache Axis2 open source project, and he has been involved with the Apache Web Service project since 2002, and is a member of Apache Software foundation and Apache Web Service project PMC. Srinath is also a committer of Apache open source projects Axis, Axis2, and Geronimo.

He received his Ph.D. and M.Sc. in Computer Sciences from Indiana University, Bloomington, USA and received his Bachelor of Science in Computer Science and Engineering from University of Moratuwa, Sri Lanka.

Srinath has authored many technical and peer reviewed research articles, and more detail can be found from his website. He is also a frequent speaker at technical venues.

He has worked with large-scale distributed systems for a long time. He closely works with Big Data technologies, such as Hadoop and Cassandra daily. He also teaches a parallel programming graduate class at University of Moratuwa, which is primarily based on Hadoop.

I would like to thank my wife Miyuru and my parents, whose never-ending support keeps me going. I also like to thanks Sanjiva from WSO2 who encourage us to make our mark even though project like these are not in the job description. Finally I would like to thank my colleges at WSO2 for ideas and companionship that have shaped the book in many ways.

Thilina Gunarathne is a Ph.D. candidate at the School of Informatics and Computing of Indiana University. He has extensive experience in using Apache Hadoop and related technologies for large-scale data intensive computations. His current work focuses on developing technologies to perform scalable and efficient large-scale data intensive computations on cloud environments.

Thilina has published many articles and peer reviewed research papers in the areas of distributed and parallel computing, including several papers on extending MapReduce model to perform efficient data mining and data analytics computations on clouds. Thilina is a regular presenter in both academic as well as industry settings.

Thilina has contributed to several open source projects at Apache Software Foundation as a committer and a PMC member since 2005. Before starting the graduate studies, Thilina worked as a Senior Software Engineer at WSO2 Inc., focusing on open source middleware development. Thilina received his B.Sc. in Computer Science and Engineering from University of Moratuwa, Sri Lanka, in 2006 and received his M.Sc. in Computer Science from Indiana University, Bloomington, in 2009. Thilina expects to receive his doctorate in the field of distributed and parallel computing in 2013.

This book would not have been a success without the direct and indirect help from many people. Thanks to my wife and my son for putting up with me for all the missing family times and for providing me with love and encouragement throughout the writing period. Thanks to my parents, without whose love, guidance and encouragement, I would not be where I am today.

Thanks to my advisor Prof. Geoffrey Fox for his excellent guidance and providing me with the environment to work on Hadoop and related technologies. Thanks to the HBase, Mahout, Pig, Hive, Nutch, and Lucene communities for developing great open source products. Thanks to Apache Software Foundation for fostering vibrant open source communities.

Thanks to the editorial staff at Packt, for providing me the opportunity to write this book and for providing feedback and guidance throughout the process. Thanks to the reviewers for reviewing this book, catching my mistakes, and for the many useful suggestions.

Thanks to all of my past and present mentors and teachers, including Dr. Sanjiva Weerawarana of WSO2, Prof. Dennis Gannon, Prof. Judy Qiu, Prof. Beth Plale, all my professors at Indiana University and University of Moratuwa for all the knowledge and guidance they gave me. Thanks to all my past and present colleagues for many insightful discussions and the knowledge they shared with me.

About the Reviewers

Masatake Iwasaki is Software Engineer at NTT DATA Corporation. He provides technical consultation for Open Source software such as Hadoop, HBase, and PostgreSQL.

Shinichi Yamashita is a Chief Engineer at OSS professional service unit in NTT DATA Corporation in Japan. He has more than seven years' experience in software and middleware (Apache, Tomcat, PostgreSQL, and Hadoop eco system) engineering. NTT DATA is your Innovation Partner anywhere around the world. It provides professional services from consulting, and system development to business IT outsourcing. In Japan, he has authored some books on Hadoop.

I thank my co-workers.

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