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Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
Raul Estrada Isaac Ruiz
Mexico City Mexico City
Mexico Mexico
ISBN-13 (pbk): 978-1-4842-2174-7 ISBN-13 (electronic): 978-1-4842-2175-4
DOI 10.1007/978-1-4842-2175-4
Library of Congress Control Number: 2016954634
Copyright © 2016 by Raul Estrada and Isaac Ruiz
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the
material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation,
broadcasting, reproduction on microfilms or in any other physical way, and transmission or information
storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now
known or hereafter developed.
Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with
every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an
editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are
not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to
proprietary rights.
While the advice and information in this book are believed to be true and accurate at the date of publication,
neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or
omissions that may be made. The publisher makes no warranty, express or implied, with respect to the
material contained herein.
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Susan McDermott, Matthew Moodie, Natalie Pao, Gwenan Spearing
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Indexer: SPi Global
Cover Image: Designed by Harryarts - Freepik.com
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Printed on acid-free paper
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v
Contents at a Glance
About the Authors ...................................................................................................xix
About the Technical Reviewer ................................................................................xxi
Acknowledgments ................................................................................................xxiii
Introduction ...........................................................................................................xxv
■Part I: Introduction ................................................................................................ 1
■Chapter 1: Big Data, Big Challenges ...................................................................... 3
■Chapter 2: Big Data, Big Solutions ......................................................................... 9
■Part II: Playing SMACK ........................................................................................ 17
■Chapter 3: The Language: Scala .......................................................................... 19
■Chapter 4: The Model: Akka ................................................................................ 41
■Chapter 5: Storage: Apache Cassandra ............................................................... 67
■Chapter 6: The Engine: Apache Spark ................................................................. 97
■Chapter 7: The Manager: Apache Mesos ........................................................... 131
■Chapter 8: The Broker: Apache Kafka ................................................................ 165
■Part III: Improving SMACK ................................................................................. 205
■Chapter 9: Fast Data Patterns ............................................................................ 207
■Chapter 10: Data Pipelines ................................................................................ 225
■Chapter 11: Glossary ......................................................................................... 251
Index ..................................................................................................................... 259
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- shenghuo1234562017-12-11非常好的资料,多谢楼主的无私奉献!谢谢
- ramonliu2016-10-29高清晰的原版全版,十分新的材料,十分好,很给力,感谢!
- cjf_junfeng2016-10-27非常好的资料,多谢楼主的无私奉献!谢谢
Laurence
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