Jeffrey Aven - Hadoop in 24 Hours, Sams Teach Yourself

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Jeffery Aven

800 East 96th Street, Indianapolis, Indiana 46240 USA

Sams Teach Yourself Hadoop in 24 Hours

Copyright 2017 by Pearson Education, Inc.

All rights reserved. No part of this book shall be reproduced, stored in a retrieval system, or transmitted by any means, electronic, mechanical, photocopying, recording, or otherwise, without written permission from the publisher. No patent liability is assumed with respect to the use of the information contained herein. Although every precaution has been taken in the preparation of this book, the publisher and author assume no responsibility for errors or omissions. Nor is any liability assumed for damages resulting from the use of the information contained herein.

ISBN-13: 978-0-672-33852-6

ISBN-10: 0-672-33852-1

Library of Congress Control Number: 2017935714

Printed in the United States of America

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codeMantra

Hadoop is synonymous with Big Data, and the two are inexorably linked together. Although there have been many books written about Hadoop before this one, many of these books have been focused on one particular area of Hadoop, or required some prior experience with Hadoop. This book is different as it explores all areas of Hadoop and the Hadoop ecosystem, as well as providing an understanding and background to the genesis of Hadoop and the big data movement.

This book is also useful if you have had some exposure to Hadoop as it explores adjacent technologies such as Spark, HBase, Cassandra, and more. The book includes many diagrams, code snippets, hands-on exercises, quizzes, and Q&As, which will help you in distilling key concepts.

I have dedicated the past several years of my career to this subject area, teaching courses and consulting to clients on analytics and big data. I have seen the emergence and maturity of the big data and open source movements, and been part of its assimilation into the enterprise. I have tried to synthesize my personal learning journey over this time into this book.

I hope this book launches or assists in your journey to becoming a big data practitioner.