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Garry Turkington - Hadoop beginners guide

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Garry Turkington Hadoop beginners guide
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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 Beginners 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.

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Hadoop Beginner's Guide

Hadoop Beginner's Guide

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 author, 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: February 2013

Production Reference: 1150213

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-84951-7-300

www.packtpub.com

Cover Image by Asher Wishkerman (<>)

Credits

Author

Garry Turkington

Reviewers

David Gruzman

Muthusamy Manigandan

Vidyasagar N V

Acquisition Editor

Robin de Jongh

Lead Technical Editor

Azharuddin Sheikh

Technical Editors

Ankita Meshram

Varun Pius Rodrigues

Copy Editors

Brandt D'Mello

Aditya Nair

Laxmi Subramanian

Ruta Waghmare

Project Coordinator

Leena Purkait

Proofreader

Maria Gould

Indexer

Hemangini Bari

Production Coordinator

Nitesh Thakur

Cover Work

Nitesh Thakur

About the Author

Garry Turkington has 14 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current roles as VP Data Engineering and Lead Architect at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams building systems that process Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and USA.

He has BSc and PhD degrees in Computer Science from the Queens University of Belfast in Northern Ireland and an MEng in Systems Engineering from Stevens Institute of Technology in the USA.

I would like to thank my wife Lea for her support and encouragementnot to mention her patiencethroughout the writing of this book and my daughter, Maya, whose spirit and curiosity is more of an inspiration than she could ever imagine.

About the Reviewers

David Gruzman is a Hadoop and big data architect with more than 18 years of hands-on experience, specializing in the design and implementation of scalable high-performance distributed systems. He has extensive expertise of OOA/OOD and (R)DBMS technology. He is an Agile methodology adept and strongly believes that a daily coding routine makes good software architects. He is interested in solving challenging problems related to real-time analytics and the application of machine learning algorithms to the big data sets.

He foundedand is working withBigDataCraft.com, a boutique consulting firm in the area of big data. Visit their site at www.bigdatacraft.com. David can be contacted at david@bigdatacraft.com. More detailed information about his skills and experience can be found at http://www.linkedin.com/in/davidgruzman.

Muthusamy Manigandan is a systems architect for a startup. Prior to this, he was a Staff Engineer at VMWare and Principal Engineer with Oracle. Mani has been programming for the past 14 years on large-scale distributed-computing applications. His areas of interest are machine learning and algorithms.

Vidyasagar N V has been interested in computer science since an early age. Some of his serious work in computers and computer networks began during his high school days. Later, he went to the prestigious Institute Of Technology, Banaras Hindu University, for his B.Tech. He has been working as a software developer and data expert, developing and building scalable systems. He has worked with a variety of second, third, and fourth generation languages. He has worked with flat files, indexed files, hierarchical databases, network databases, relational databases, NoSQL databases, Hadoop, and related technologies. Currently, he is working as Senior Developer at Collective Inc., developing big data-based structured data extraction techniques from the Web and local information. He enjoys producing high-quality software and web-based solutions and designing secure and scalable data systems. He can be contacted at <>.

I would like to thank the Almighty, my parents, Mr. N Srinivasa Rao and Mrs. Latha Rao, and my family who supported and backed me throughout my life. I would also like to thank my friends for being good friends and all those people willing to donate their time, effort, and expertise by participating in open source software projects. Thank you, Packt Publishing for selecting me as one of the technical reviewers for this wonderful book. It is my honor to be a part of it.

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Preface

This book is here to help you make sense of Hadoop and use it to solve your big data problems. It's a really exciting time to work with data processing technologies such as Hadoop. The ability to apply complex analytics to large data setsonce the monopoly of large corporations and government agenciesis now possible through free open source software ( OSS ).

But because of the seeming complexity and pace of change in this area, getting a grip on the basics can be somewhat intimidating. That's where this book comes in, giving you an understanding of just what Hadoop is, how it works, and how you can use it to extract value from your data now.

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