Overview
- Helps students/professionals to get a better understanding of what data is and how to design effective data structures
- Details how to use (data) models as an enabler for data management
- Shows how to exploit data as an asset to reap value from
Part of the book series: The Enterprise Engineering Series (TEES)
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About this book
After a brief introduction, the remaining book consists of three parts. In Part I “Data”, the focus is on understanding data. It includes theories in semiotics, the relational model, and normalization, as well as related theories around understanding data/designing sound data structures. This part is complemented by an extensive chapter on how to design effective data structures and a smaller one on the topic of create versus use context. Part II “Data Management” then focuses on managing data as an asset. This part is based on the DMBOK and each of the functional areas is discussed in a separate chapter. Part III “Parting Thoughts” presents conclusions which are based on a synthesis of Part I and Part II, leading up to a summary of the main contributions of this book as well as a critical reflection on these results.
This book is written for a rather broad audience, ranging from professionals to students, both from business, computer science, and information management. The writing style is adjusted specifically for these groups. At the end of each chapter reflection questions are included that distinguish between questions for practitioners and for students and help both audiences to benefit from the book and check their comprehension.
Keywords
Table of contents (19 chapters)
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Front Matter
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Data
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Front Matter
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Data Management
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Front Matter
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Authors and Affiliations
About the author
Bibliographic Information
Book Title: Data in Context
Book Subtitle: Models as Enablers for Managing and Using Data
Authors: Bas van Gils
Series Title: The Enterprise Engineering Series
DOI: https://doi.org/10.1007/978-3-031-35539-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-35538-7Published: 01 August 2023
eBook ISBN: 978-3-031-35539-4Published: 31 July 2023
Series ISSN: 1867-8920
Series E-ISSN: 1867-8939
Edition Number: 1
Number of Pages: XX, 217
Number of Illustrations: 54 b/w illustrations, 28 illustrations in colour
Topics: Computer Applications, Database Management, Business Information Systems, Data Structures and Information Theory, Artificial Intelligence