Big Data 2.0 Processing Systems A Survey
This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started
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Sherif Sakr
Big Data 2.0 Processing Systems A Survey 123
SpringerBriefs in Computer Science
More information about this series at http://www.springer.com/series/10028
Sherif Sakr
Big Data 2.0 Processing Systems A Survey
123
Sherif Sakr University of New South Wales Sydney, NSW Australia
ISSN 2191-5768 ISSN 2191-5776 (electronic) SpringerBriefs in Computer Science ISBN 978-3-319-38775-8 ISBN 978-3-319-38776-5 (eBook) DOI 10.1007/978-3-319-38776-5 Library of Congress Control Number: 2016941097 © The Author(s) 2016 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. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To my wife, Radwa, my daughter, Jana, and my son, Shehab for their love, encouragement, and support. Sherif Sakr
Foreword
Big Data has become a core topic in different industries and research disciplines as well as for society as a whole. This is because the ability to generate, collect, distribute, process, and analyze unprecedented amounts of diverse data has almost universal utility and helps to change fundamentally the way industries operate, how research can be done, and how people live and use modern technology. Different industries such as automotive, finance, healthcare, or manufacturing can dramatically benefit from improved and faster data analysis, for example, as illustrated by current industry trends such as “Industry 4.0” and “Internet-of-Things.” Data-driven research approaches utilizing Big Data technology and analysis have become increasingly commonplace, for example, in the life sciences, geosciences, or in astronomy. Users utilizing smartphones, social media, and Web resources spend increasing amounts of time online, generate and consume enormous amounts of data, and are the target for personalized services, recommendations, and advertisements. Most of the possible developments related to Big Data are still in an early stage but there i
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