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

Book Overview

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: Paperback
• Language: English
• ISBN: 3319797670
• ISBN13: 9783319797670
• Release Date: March 2018
• Publisher: Springer
• Length: 169 Pages
• Weight: 0.60 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"