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.