Overview
- Reviews the latest research and practice in data science and big data
- Discusses tools and techniques for big data storage and analytics
- Describes the frameworks relevant to data science, and their application
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Table of contents (13 chapters)
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Data Science Applications and Scenarios
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Big Data Modelling and Frameworks
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Big Data Tools and Analytics
Keywords
About this book
Reviews
Editors and Affiliations
About the editor
Professor Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Prof. Mahmood is a certified cloud computing instructor and a regular speaker at international conferences devoted to Cloud Computing and E-Government. His specialized areas of research include distributed computing, project management, and e-government. Among his many publications are the Springer titles Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.
Bibliographic Information
Book Title: Data Science and Big Data Computing
Book Subtitle: Frameworks and Methodologies
Editors: Zaigham Mahmood
DOI: https://doi.org/10.1007/978-3-319-31861-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-31859-2Published: 12 July 2016
Softcover ISBN: 978-3-319-81139-0Published: 31 May 2018
eBook ISBN: 978-3-319-31861-5Published: 05 July 2016
Edition Number: 1
Number of Pages: XXI, 319
Number of Illustrations: 68 b/w illustrations
Topics: Management of Computing and Information Systems, Data Mining and Knowledge Discovery, Computer Communication Networks