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Hadoop: The Definitive Guide, Third Edition by Tom White Copyright © 2012 Tom White. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://my.safaribooksonline.com). For more information, contact our corporate/institutional sales department: (800) 998-9938 or corporate@oreilly.com. Editors: Mike Loukides and Meghan Blanchette Production Editor: Rachel Steely Copyeditor: Genevieve d’Entremont Proofreader: Kevin Broccoli May 2012: Third Edition. Indexer: Kevin Broccoli Cover Designer: Karen Montgomery Interior Designer: David Futato Illustrator: Robert Romano Revision History for the Third Edition: 2012-01-27 Early release revision 1 2012-05-07 First release See http://oreilly.com/catalog/errata.csp?isbn=9781449311520 for release details. Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Hadoop: The Definitive Guide, the image of an elephant, and related trade dress are trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and O’Reilly Media, Inc., was aware of a trademark claim, the designations have been printed in caps or initial caps. While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. ISBN: 978-1-449-31152-0 [LSI] 1336503003
Page 4 and 5: Table of Contents Foreword . . . .
Page 6 and 7: Writable Classes 96 Implementing a
Page 8 and 9: User-Defined Streaming Counters 268
Page 10 and 11: Parallelism 409 Parameter Substitut
Page 12 and 13: 15. Sqoop . . . . . . . . . . . . .
Page 14 and 15: Data! CHAPTER 1 Meet Hadoop In pion
Page 16 and 17: however fiendish your algorithms ar
Page 18 and 19: The answer to these questions comes
Page 20 and 21: MapReduce tries to collocate the da
Page 22 and 23: A Brief History of Hadoop Hadoop wa
Page 24 and 25: the industry, and this fact is refl
Page 26 and 27: Avro A serialization system for eff
Page 28 and 29: What’s Covered in This Book This
Page 30: O’Reilly Ebooks—Your bookshelf

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