Table of Contents

Part I: Basics 1. What is Data Modeling? 2. Basics of Good Structure 3. The Entity-Relationship Approach 4. Subtypes and Supertypes 5. Attributes and Columns 6. Primary Keys and Identity 7. Extensions and Alternatives

Part II: Putting it Together 8. Organizing the Data Modeling Task 9. Understanding the Business Requirements 10. Conceptual Modeling 11. Logical Database Design 12. Physical Database Design

Part III: Advanced Topics 13. Advanced Normalization 14. Modeling Business Rules 15. Time-Dependent Data 16. Modeling for Data Warehouses and Data Marts 17. Enterprise Data Models and Data Management

Promotional Information

� Thorough coverage of the fundamentals and relevant theory.
� Recognition and support for the creative side of the process.
� Expanded coverage of applied data modeling includes new chapters on logical and physical database design.
� New material describing a powerful technique for model verification.
� Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
� Extensive online component including course notes and other teaching aids (www mkp.com).

About the Author

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.

Reviews

"The perfect balance of theory and practice, giving the reader both the foundation and the tools to deliver high-quality data models." -Karen Lopez, Principal, InfoAdvisors, Inc. "The complete guide to data modeling for the reflective practitioner. Students like this book and so do I -- it is clear and accessible without sacrificing rigor." -Professor Graeme Shanks, School of Business Systems, Monash University, Australia "A unique, practical and comprehensive guide, providing an invaluable resource to anyone involved in data modeling from the novice to the expert data modeler." -Len Silverston, author of The Data Model Resource Book, Volumes 1 and 2. "Includes an extraordinary amount of good, useful, and well articulated information about the field." -David Hay, President, Essential Strategies, Inc. and author of Data Model Patterns "Data Modeling Essentials is a fresh look at an old topic...much more accesible and refreshing in its tone and attitude. Simsion's explanations are very clear and his examples easy to follow...This book is useful for both beginners and experienced data modelers who want a new innovative approach to the important task of documenting data requirements." - The Bridge --Barbara A. Carkenord "The book is extremely well-written. It is humorous at times, full of useful anecdotes, and follows a very logical sequence...In summary, I found Data Modeling Essentials, Third Edition, very useful for data modelers at any level of experience." - DM Review