Data & IT
Pocket
Big-Data Analytics and Cloud Computing
Marcello Trovati • Richard Hill • Ashiq Anjum • Shao Ying Zhu • Lu Liu
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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.
- Format: Pocket/Paperback
- ISBN: 9783319797670
- Språk: Engelska
- Antal sidor: 169
- Utgivningsdatum: 2018-03-30
- Förlag: Springer International Publishing AG