Big Data

Related Technologies, Challenges and Future Prospects

  • Min Chen
  • Shiwen Mao
  • Yin Zhang
  • Victor C.M. Leung

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 1-10
  3. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 11-18
  4. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 19-32
  5. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 33-49
  6. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 51-58
  7. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 59-79
  8. Min Chen, Shiwen Mao, Yin Zhang, Victor C. M. Leung
    Pages 81-89

About this book

Introduction

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.

Keywords

Big data Big data analysis Big data applications Big data storage Cloud computing Data center Internet of things Smart grid Social networks

Authors and affiliations

  • Min Chen
    • 1
  • Shiwen Mao
    • 2
  • Yin Zhang
    • 3
  • Victor C.M. Leung
    • 4
  1. 1.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  2. 2.Auburn UniversityAuburnUSA
  3. 3.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina
  4. 4.Electrical and Computer EngineeringThe University of British ColumbiaVancouverCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06245-7
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06244-0
  • Online ISBN 978-3-319-06245-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book
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