Overview
- Covers the basics of logical data modeling from the beginnings through the normal forms, along with discussions of design patterns, the transition from logical data model to physical database design, and the use of an enterprise modeling tool, Visible Advantage
- Purpose is to present a clear, simple, direct, explicit, and systematic approach to developing a logical data model, complete with illustrations, examples, exercises, and standard terminology
Part of the book series: Integrated Series in Information Systems (ISIS, volume 5)
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein’s business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems' Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.
Authors and Affiliations
Bibliographic Information
Book Title: Logical Data Modeling
Book Subtitle: What it is and How to do it
Authors: Alan Chmura, J. Mark Heumann
Series Title: Integrated Series in Information Systems
DOI: https://doi.org/10.1007/b100064
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag New York 2005
Hardcover ISBN: 978-0-387-22950-8Published: 29 September 2004
Softcover ISBN: 978-1-4419-1989-2Published: 19 November 2010
eBook ISBN: 978-0-387-22962-1Published: 06 March 2007
Series ISSN: 1571-0270
Series E-ISSN: 2197-7968
Edition Number: 1
Number of Pages: XII, 228
Topics: Database Management, IT in Business, Management of Computing and Information Systems, Models and Principles, Computer Systems Organization and Communication Networks