Overview
- Addresses key concepts and patterns of distributed computing to provide practitioners with insight while designing big data analytics use cases
- Details how different big data technologies leverage those key concepts and patterns of distributed computing
- Includes applications, such as IoT, cognitive analytics, social media analytics and scientific data analytics
Part of the book series: Scalable Computing and Communications (SCC)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.
This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations.
Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.
Editors and Affiliations
Bibliographic Information
Book Title: Distributed Computing in Big Data Analytics
Book Subtitle: Concepts, Technologies and Applications
Editors: Sourav Mazumder, Robin Singh Bhadoria, Ganesh Chandra Deka
Series Title: Scalable Computing and Communications
DOI: https://doi.org/10.1007/978-3-319-59834-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-59833-8Published: 08 September 2017
Softcover ISBN: 978-3-319-86713-7Published: 11 August 2018
eBook ISBN: 978-3-319-59834-5Published: 29 August 2017
Series ISSN: 2520-8632
Series E-ISSN: 2364-9496
Edition Number: 1
Number of Pages: X, 162
Number of Illustrations: 9 b/w illustrations, 63 illustrations in colour
Topics: Computer Communication Networks, Communications Engineering, Networks, Database Management, Information Systems Applications (incl. Internet)