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Big Data 2.0 Processing Systems

A Systems Overview

Authors: Sakr, Sherif

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    • Provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems and discusses various aspects of research and development
      • Describes an entire range of engines that transcend the Hadoop framework and are dedicated to specific verticals (e.g. structured data, graph data, streaming data)
        • A valuable reference guide for students, researchers and professionals in the domain of big data processing systems
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        eBook 50,28 €
        price for Spain (gross)
        • ISBN 978-3-030-44187-6
        • Digitally watermarked, DRM-free
        • Included format: PDF
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        • Immediate eBook download after purchase
        Hardcover 62,39 €
        price for Spain (gross)
        • ISBN 978-3-030-44186-9
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        • Immediate ebook access, if available*, with your print order
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        About this book

        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 to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems.

        After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years.

        Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.


        About the authors

        Sherif Sakr is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu, Estonia. His research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. He has published more than 150 refereed research publications in international journals and conferences. Sherif is an ACM Senior Member and an IEEE Senior Member, and in 2017, he has been appointed to serve as an ACM Distinguished Speaker and as an IEEE Distinguished Speaker. In addition, he is serving as the Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies, and is also serving as a Co-Chair for the European Big Data Value Association (BDVA) TF6-Data Technology Architectures Group. In 2019, he received the best Arab scholar award from the Abdul Hammed Shoman Foundation.

        Reviews

        “The book "Big Data 2.0 Processing Systems" is a valuable and up-to-date guide through this field and provides the reader with a comprehensible and concise overview of the main developments beyond the initial Map Reduce-focused version of Hadoop.” (Prof. Dr. Erhard Rahm, Universität Leipzig, Germany)

        Table of contents (7 chapters)

        Table of contents (7 chapters)

        Buy this book

        eBook 50,28 €
        price for Spain (gross)
        • ISBN 978-3-030-44187-6
        • Digitally watermarked, DRM-free
        • Included format: PDF
        • ebooks can be used on all reading devices
        • Immediate eBook download after purchase
        Hardcover 62,39 €
        price for Spain (gross)
        • ISBN 978-3-030-44186-9
        • Free shipping for individuals worldwide
        • Immediate ebook access, if available*, with your print order
        • Usually dispatched within 3 to 5 business days.
        • The final prices may differ from the prices shown due to specifics of VAT rules
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        Bibliographic Information

        Bibliographic Information
        Book Title
        Big Data 2.0 Processing Systems
        Book Subtitle
        A Systems Overview
        Authors
        Copyright
        2020
        Publisher
        Springer International Publishing
        Copyright Holder
        The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
        eBook ISBN
        978-3-030-44187-6
        DOI
        10.1007/978-3-030-44187-6
        Hardcover ISBN
        978-3-030-44186-9
        Edition Number
        2
        Number of Pages
        XVI, 145
        Number of Illustrations
        51 b/w illustrations, 19 illustrations in colour
        Additional Information
        The first edition of this work was published in the series: SpringerBriefs in Computer Science, with the
        Topics

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