Big Data: Related Technologies, Challenges and Future Prospects

Author:   Min Chen ,  Shiwen Mao ,  Yin Zhang ,  Victor C.M. Leung
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
ISBN:  

9783319062440


Pages:   89
Publication Date:   15 May 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Big Data: Related Technologies, Challenges and Future Prospects


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Full Product Details

Author:   Min Chen ,  Shiwen Mao ,  Yin Zhang ,  Victor C.M. Leung
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 0.60cm , Length: 23.50cm
Weight:   1.708kg
ISBN:  

9783319062440


ISBN 10:   3319062441
Pages:   89
Publication Date:   15 May 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

Reviews

The book not only provides readers with a fundamental understanding of big data, but also points to many future research topics and directions. ... it covers comprehensive aspects of big data and provides abundant references. I believe that it will be a valuable resource for researchers working with big data, especially those working in computer science, computer engineering, or related fields. (I-Lun Tseng, Computing Reviews, June, 2015) The authors' knowledge of information and communications technology (ICT) and teaching experience allow them to give a very good comprehensive overview of big data and related themes, providing a thorough and timely exploration of this broad new field. ... Each chapter starts with an abstract, and then the themes are demonstrated from many perspectives in the following sections. ... I recommend this introductory book ... for those who want to understand problems and solutions regarding big data. (K. Balogh, Computing Reviews, November, 2014)


“The book not only provides readers with a fundamental understanding of big data, but also points to many future research topics and directions. … it covers comprehensive aspects of big data and provides abundant references. I believe that it will be a valuable resource for researchers working with big data, especially those working in computer science, computer engineering, or related fields.” (I-Lun Tseng, Computing Reviews, June, 2015) “This book provides a big picture in this broad research area, covering all the phases of its value chains. … The book presents an overview on different phrases of big data value chain. … I would like to recommend this book to researchers and industrial practitioners who work with big data, and it is also useful for researchers in relevant areas such as parallel computing, NoSQL Database, machine learning and data analytics.” (Gang Li, Information Technology and Tourism, Vol. 15, 2015) “The authors’ knowledge of information and communications technology (ICT) and teaching experience allow them to give a very good comprehensive overview of big data and related themes, providing a thorough and timely exploration of this broad new field. … Each chapter starts with an abstract, and then the themes are demonstrated from many perspectives in the following sections. … I recommend this introductory book … for those who want to understand problems and solutions regarding big data.” (K. Balogh, Computing Reviews, November, 2014)


From the book reviews: The authors' knowledge of information and communications technology (ICT) and teaching experience allow them to give a very good comprehensive overview of big data and related themes, providing a thorough and timely exploration of this broad new field. ... Each chapter starts with an abstract, and then the themes are demonstrated from many perspectives in the following sections. ... I recommend this introductory book ... for those who want to understand problems and solutions regarding big data. (K. Balogh, Computing Reviews, November, 2014)


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