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Big-Data Analytics and Cloud Computing

Theory, Algorithms and Applications

Editors: Trovati, M., Hill, R., Anjum, A., Zhu, S.Y., Liu, L. (Eds.)

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  • Discusses and explores theoretical concepts, principles, tools, techniques and deployment models in the context of Big Data
  • Focuses on the latest developments in Data Science (aka Analytics) and, especially, their applications to real-world challenges
  • Includes numerous cases studies for in-class analysis and assignments
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eBook 85,59 €
price for Spain (gross)
  • ISBN 978-3-319-25313-8
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  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-25311-4
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
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Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-79767-0
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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About this book

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

About the authors

The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hill as a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook 85,59 €
price for Spain (gross)
  • ISBN 978-3-319-25313-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-25311-4
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 103,99 €
price for Spain (gross)
  • ISBN 978-3-319-79767-0
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be 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 Analytics and Cloud Computing
Book Subtitle
Theory, Algorithms and Applications
Editors
  • Marcello Trovati
  • Richard Hill
  • Ashiq Anjum
  • Shao Ying Zhu
  • Lu Liu
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-25313-8
DOI
10.1007/978-3-319-25313-8
Hardcover ISBN
978-3-319-25311-4
Softcover ISBN
978-3-319-79767-0
Edition Number
1
Number of Pages
XVI, 169
Number of Illustrations
67 illustrations in colour
Topics

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