Overview
- Outlines different use cases for big data applications and technologies in supporting business intelligence, a cross discipline of computer science and business
- Includes contributions from leading researchers and practitioners, providing readers with a theoretical and practical understanding of the challenges facing big data today and beyond
- Surveys big data and dataset core concepts and principles
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series on Computer, Entertainment and Media Technology (ISCEMT)
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Table of contents (9 chapters)
Keywords
- 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
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Bibliographic Information
Book Title: Big Data Applications and Use Cases
Editors: Patrick C. K. Hung
Series Title: International Series on Computer, Entertainment and Media Technology
DOI: https://doi.org/10.1007/978-3-319-30146-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30144-0Published: 25 May 2016
Softcover ISBN: 978-3-319-80731-7Published: 27 May 2018
eBook ISBN: 978-3-319-30146-4Published: 18 May 2016
Series ISSN: 2364-947X
Series E-ISSN: 2364-9488
Edition Number: 1
Number of Pages: VI, 214
Number of Illustrations: 8 b/w illustrations, 62 illustrations in colour
Topics: Database Management, IT in Business