Skip to main content
SpringerLink
Log in
Book cover

Handbook of Big Data Technologies

  • Book
  • © 2017

Overview

Editors:
  1. Albert Y. Zomaya

    1. School of Information Technologies, The University of Sydney, Sydney, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Sherif Sakr

    1. The School of Computer Science, The University of New South Wales, Eveleigh, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides essential reader insight into the vast potential power and value of Big Data resources
  • Offers the reader a comprehensive examination of Big Data technologies
  • Inspects both theoretical and practical aspects of Big Data platforms
  • Describes use cases and applications of Big Data technologies within various domains
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 449.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Fundamentals of Big Data Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Big Data Storage and Data Models

      • Dongyao Wu, Sherif Sakr, Liming Zhu
      Pages 3-29

    3. Big Data Programming Models

      • Dongyao Wu, Sherif Sakr, Liming Zhu
      Pages 31-63

    4. Programming Platforms for Big Data Analysis

      • Jiannong Cao, Shailey Chawla, Yuqi Wang, Hanqing Wu
      Pages 65-99

    5. Big Data Analysis on Clouds

      • Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
      Pages 101-142

    6. Data Organization and Curation in Big Data

      • Mohamed Y. Eltabakh
      Pages 143-178

    7. Big Data Query Engines

      • Mohamed A. Soliman
      Pages 179-217

    8. Large-Scale Data Stream Processing Systems

      • Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl et al.
      Pages 219-260

  3. Semantic Big Data Management

    1. Front Matter

      Pages 261-261
      Download chapter PDF

    2. Semantic Data Integration

      • Michelle Cheatham, Catia Pesquita
      Pages 263-305

    3. Linked Data Management

      • Manfred Hauswirth, Marcin Wylot, Martin Grund, Paul Groth, Philippe Cudré-Mauroux
      Pages 307-338

    4. Non-native RDF Storage Engines

      • Manfred Hauwirth, Marcin Wylot, Martin Grund, Sherif Sakr, Phillippe Cudré-Mauroux
      Pages 339-364

    5. Exploratory Ad-Hoc Analytics for Big Data

      • Julian Eberius, Maik Thiele, Wolfgang Lehner
      Pages 365-407

    6. Pattern Matching Over Linked Data Streams

      • Yongrui Qin, Quan Z. Sheng
      Pages 409-427

    7. Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases

      • Wei Emma Zhang, Quan Z. Sheng
      Pages 429-453

  4. Big Graph Analytics

    1. Front Matter

      Pages 455-455
      Download chapter PDF

    2. Management and Analysis of Big Graph Data: Current Systems and Open Challenges

      • Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm
      Pages 457-505

    3. Similarity Search in Large-Scale Graph Databases

      • Peixiang Zhao
      Pages 507-529

    4. Big-Graphs: Querying, Mining, and Beyond

      • Arijit Khan, Sayan Ranu
      Pages 531-582
Back to top

Keywords

About this book

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms.  Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems.  Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques.  Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalablegraph querying and mining mechanisms in domains such as social networks.  Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems.  All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. 


Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.




Editors and Affiliations

  • School of Information Technologies, The University of Sydney, Sydney, Australia

    Albert Y. Zomaya

  • The School of Computer Science, The University of New South Wales, Eveleigh, Australia

    Sherif Sakr

About the editors

Albert Zomaya is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, University of Sydney. Dr. Zomaya published more than 500 scientific papers and articles and is author, co-author or editor of more than 20 books.  He served as the Editor in Chief of the IEEE Transactions on Computers (2011-2014) and was elected recently as a Founding Editor in Chief for the newly established IEEE Transactions on Sustainable Computing. Dr. Zomaya also serves as an associate editor for more than 20 leading journals. He is Fellow of AAAS, IEEE, and IET. 

Sherif Sakr is currently a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. Dr. Sakr held visiting appointments in several academic and research institutes including Microsoft Research (2011), Alcatel-Lucent Bell Labs (2012), University of Zurich (2016) and TU Dresden (2016).  His current research is revolved around advanced big data management and processing technologies. In addition to his dozens of peer-reviewed articles in reputable conferences and journals, he is the author and editor of several valuable books in this domain.



Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation