Mastering data modeling : a user-driven approach

著者

    • Carlis, John
    • Maguire, Joseph

書誌事項

Mastering data modeling : a user-driven approach

John Carlis and Joseph Maguire

Addison-Wesley, c2001

  • : pbk. : alk. paper

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注記

Includes index

内容説明・目次

内容説明

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.

目次

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.

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