Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications eBook

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Big-Data Analytics and Cloud Computing
Theory, Algorithms and Applications
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.

This is a digital product.

Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications and published by Springer. The Digital and eTextbook ISBNs for Big-Data Analytics and Cloud Computing are 9783319253138, 3319253131 and the print ISBNs are 9783319253114, 3319253115.