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

More books from Springer International Publishing

Cover of the book International Development Organizations and Fragile States by
Cover of the book Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change by
Cover of the book Advances in Applied Economic Research by
Cover of the book Application of Microalgae in Wastewater Treatment by
Cover of the book Rehabilitation Science in Context by
Cover of the book Transactions on Foundations for Mastering Change I by
Cover of the book From Astrophysics to Unconventional Computation by
Cover of the book Lasers in Endodontics by
Cover of the book Radical Origins to Economic Crises by
Cover of the book Cross-Cultural Design. Culture and Society by
Cover of the book Buddhism and Linguistics by
Cover of the book Online Incivility and Public Debate by
Cover of the book Proceedings of the 11th International Congress for Applied Mineralogy (ICAM) by
Cover of the book Annual Update in Intensive Care and Emergency Medicine 2014 by
Cover of the book Representation Theory of Finite Monoids by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy