Data Modeling Essentials, Third Edition

Simsion, Graeme; Witt, Graham

ISBN 10: 0126445516 / ISBN 13: 9780126445510

Published by Morgan Kaufmann, 2004

About this Item

Oversized trade paperback, published by Morgan Kaufman, 2004. A first printing copy of this third edition. In-depth coverage of the fundamentals, with new chapters on logical and physical database design. Coverage of managing change and resolving conflict. 532 pages with Index, 7-1/2" X 9-1/4". No creases to the cover or spine. No former ownership marks, no writing on the text pages. Edges of the text block are clean. This is not a remainder copy, not a library discard. The attached photos are of the copy we have in our inventory.

Seller Inventory # 24-01038

Bibliographic Details

• Title: Data Modeling Essentials, Third Edition
• Publisher: Morgan Kaufmann
• Publication Date: 2004
• Language: English
• ISBN 10: 0126445516
• ISBN 13: 9780126445510
• Binding: Soft cover
• Edition: 3rd Edition
• Condition: Near Fine
• Dust Jacket Condition: No Jacket
• Seller catalogs:
  • Computer Science
  • Science
  • Math

About this title

Synopsis

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.

This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.

This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

About the Authors

Graeme C. Simsion has over 25 years experience in information systems as a DBA, data modeling consultant, business systems designer, manager, and researcher. He is a regular presenter at industry and academic forums, and is currently a Senior Fellow with the Department of Information Systems at the University of Melbourne.

Graham C. Witt is an independent consultant with over 30 years of experience in assisting enterprises to acquire relevant and effective IT solutions. His clients include major banks and other financial institutions; businesses in the insurance, utilities, transport and telecommunications sectors; and a wide variety of government agencies. A former guest lecturer on Database Systems at University of Melbourne, he is a frequent presenter at international data management conferences.