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Mastering Data Modeling
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Table of Contents

Foreword. Preface. 1. Introduction. 2. Good Habits. 3. Reading an LDS with Sentences. 4. Vocabulary of LDS. 5. Visualizing Allowed and Disallowed Instances. 6. A Conversation with Users about Creatures and Skills. 7. Introduction to Mastering Shapes. 8. One-Entity, No-Relationship Shapes. 9. One-Attribute Shapes. 10. Two-Entity Shapes. 11. Shapes with More Than Two Entities. 12. Shapes with Reflexive Relationships. 13. LDS Syntax Rules. 14. Getting the Names Right. 15. Official Name. 16. Labeling Links. 17. Documenting an LDS. 18. Script for Controlled Evolution. 19. Local, Anytime Steps of Controlled Evolution. 20. Global, Anytime Steps of Controlled Evolution. 21. Conversations about Dairy Farming. 22. Constraints. 23. LDS for LDS. 24: Decisions: Designing a Data-Modeling Notation. 25. LDS and the Relational Model. 26: Cookbook: Recipes for Data Modelers. Appendix: Exercises for Mastery. Index.

Promotional Information

This book introduces Logical Data Structures (LDS), a powerful new approach to database design that can dramatically improve the cost-effectiveness and business value of any enterprise database system or database-driven application. The authors introduce a new notation, new diagramming approach, and new user-centered, high-ROI techniques for modeling even the most complex, high-volume database applications. This book starts from first principles, asking and answering crucial questions like: "To best serve users, how should the process of data modeling work? To create good, economical software systems, what kind of information should be on a data model? To become an effective data modeler, what skills should you master before talking with users?" Next, it teaches data modeling using LDS, designed to encourage a user-centered, requirements approach that leads directly to more effective applications. The authors walk you through the entire process of creating and enhancing a data model. For all database administrators, analysts, designers, and architects, and for all IT managers responsible for enterprise database system management or deployment.

About the Author

John Carlis is on the faculty in the Department of Computer Science at the University of Minnesota. For the past twenty years he has taught, consulted, and conducted research on database systems, particularly in data modeling and database language extensions. Visit his homepage at www.cs.umn.edu/~carlis. Joseph Maguire is an independent consultant and the creator of the forthcoming Web site www.logicaldatastructures.com. For the past 18 years he has been an employee or consultant for many companies, including Bachman Information Systems, Digital, Lotus, Microsoft, and US WEST. 020170045XAB04062001

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