Overview
- 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
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Table of contents (25 chapters)
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Fundamentals of Big Data Processing
Keywords
About this book
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
About the editors
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
Book Title: Handbook of Big Data Technologies
Editors: Albert Y. Zomaya, Sherif Sakr
DOI: https://doi.org/10.1007/978-3-319-49340-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-49339-8Published: 14 March 2017
Softcover ISBN: 978-3-319-84138-0Published: 20 July 2018
eBook ISBN: 978-3-319-49340-4Published: 25 February 2017
Edition Number: 1
Number of Pages: XIII, 895
Number of Illustrations: 307 b/w illustrations
Topics: Computer Systems Organization and Communication Networks, Communications Engineering, Networks, Data Storage Representation, Programming Techniques, Big Data/Analytics