Big-Data Analytics and Cloud Computing

Theory, Algorithms and Applications

By: Marcello Trovati (Editor), Richard Hill (Editor), Ashiq Anjum (Editor)

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Hardcover | 19 January 2016

At a Glance

Hardcover
188 Pages

Dimensions(cm)
23.39 x 15.6 x 1.27

Hardcover

$333.75

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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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