Big Data : Related Technologies, Challenges and Future Prospects / by Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung.

By:

Chen, Min, 1980- [author.]

Contributor(s):

Material type: Text

TextSeries: SpringerBriefs in Computer ScienceEdition: 1st ed. 2014Description: 1 online resource (XII, 89 pages 8 illustrations)ISBN:

9783319062457

Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.7 23 Ch Bi

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.

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	Bahrain ITC-DBS	Computer Studies	005.7 Ch Bi (Browse shelf(Opens below))	Available	Dr. Md Asdaque		3000000024

Dr. Md Asdaque

Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook.

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.

The online book link:

https://www.amazon.com/Big-Data-Technologies-Challenges-SpringerBriefs-ebook/dp/B00K5J7MQ6/ref=sr_1_1?dchild=1&keywords=9783319062440&qid=1612770986&sr=8-1

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