Big Data Applications and Use Cases

  • Patrick C. K.┬áHung

Table of contents

  1. Front Matter
    Pages i-vi
  2. William Rafferty, Laura Rafferty, Patrick C. K. Hung
    Pages 1-15
  3. Chin-Ho Lin, Liang-Cheng Huang, Seng-Cho T. Chou, Chih-Ho Liu, Han-Fang Cheng, I-Jen Chiang
    Pages 95-108
  4. Richard K. Lomotey, Ralph Deters
    Pages 109-143
  5. Simon Fong, Charlie Fang, Neal Tian, Raymond Wong, Bee Wah Yap
    Pages 175-196
  6. Roberto da Mota Ueti, Daniela Fernandez Espinosa, Laura Rafferty, Patrick C. K. Hung
    Pages 197-214

About this book


This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business. 


Big data architecture Big data modeling Big data for vertical industries Big data toolkits Big data open platforms Economic analysis Big data for enterprise transformation Big data in business performance management Big data for business model innovations and analytics Enterprise management models and practices Government management models and practices Big data in smart planet solutions

Editors and affiliations

  • Patrick C. K.┬áHung
    • 1
  1. 1.Faculty of Business & ITUniv of Ontario Inst of TechOshawaCanada

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-30144-0
  • Online ISBN 978-3-319-30146-4
  • Series Print ISSN 2364-947X
  • Series Online ISSN 2364-9488
  • Buy this book on publisher's site