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Book Cover
E-book

Title Big data : related technologies, challenges and future prospects / Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung
Published Cham : Springer, [2014]
©2014
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Description 1 online resource (xii, 89 pages) : illustrations
Series SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in computer science. 2191-5768
Contents Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook
Summary This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed May 15, 2014)
Subject Big data.
Database management.
Data mining.
Form Electronic book
Author Chen, Min, 1960 May 25- author
Mao, Shiwen, editor of compilation
Zhang, Yin, editor of compilation
Leung, Victor Chung Ming, 1955- editor of compilation
ISBN 9783319062457 (electronic bk.)
331906245X (electronic bk.)
3319062441 (print)
9783319062440 (print)