Big Data

Related Technologies, Challenges and Future Prospects

Nonfiction, Computers, Database Management, General Computing, Internet
Cover of the book Big Data by Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung, Springer International Publishing
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Author: Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung ISBN: 9783319062457
Publisher: Springer International Publishing Publication: May 5, 2014
Imprint: Springer Language: English
Author: Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung
ISBN: 9783319062457
Publisher: Springer International Publishing
Publication: May 5, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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