Overview
- Explains, with examples, both business and technical issues in the management of information systems
- Suitable as a supporting text for a module on modern information systems
- Presents review questions and discussion topics in each chapter for classroom group work and individual research assignments
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (12 chapters)
Keywords
About this book
Reviews
“It is about business, about realizing the value of information systems, and about governing our systems and people in a big data environment. Though designed as a text for a one-semester course on information systems (IS), it can serve as a resource for newly minted managers in business and government large-scale information technology (IT) sites as well. … The authors continually provide the reader with interesting and thoughtful corporate experiences relevant to the topic at hand.” (Robert M. Lynch, Computing Reviews, June, 2015)
Authors and Affiliations
About the authors
Peter Lake is a Principal Lecturer at Sheffield Hallam University. Formerly the Technical Director of a software house, he has 30 years of industrial experience as well as 15 years as a lecturer specialising in database technology. His other Springer publications include the successful titles Concise Guide to Databases and Guide to Cloud Computing.
Robert Drake is also a Lecturer at Sheffield Hallam University, and has prior experience as Regional Director of Allocate Software, Kuala Lumpur, Malaysia.
Bibliographic Information
Book Title: Information Systems Management in the Big Data Era
Authors: Peter Lake, Robert Drake
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-3-319-13503-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-13502-1Published: 23 January 2015
Softcover ISBN: 978-3-319-35507-8Published: 14 October 2016
eBook ISBN: 978-3-319-13503-8Published: 12 January 2015
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XVII, 293
Number of Illustrations: 73 b/w illustrations
Topics: Management of Computing and Information Systems, Database Management, Data Structures, Software Engineering