Big-Data Analytics and Cloud Computing

Theory, Algorithms and Applications

Nonfiction, Computers, Networking & Communications, Hardware, Application Software, General Computing
Cover of the book Big-Data Analytics and Cloud Computing by , Springer International Publishing
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Author: ISBN: 9783319253138
Publisher: Springer International Publishing Publication: January 12, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319253138
Publisher: Springer International Publishing
Publication: January 12, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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