Handbook of Data Management: 1999 Edition

Section I: Data Development Methodologies, Definitions, and Strategy  1. Database Development Methodology and Organization  2. A Review of Database System Terminology  3. Developing a Global Information Vision  4. An Approach for Establishing Enterprise Data Standards  5. Completeness, Context, and Proportion: Shaping Data Design to the Business  6. An Enterprise Decision Framework for System Selection the Importance of Data Architecture in a Client/Server Environment  7. Section II: Data Models and Modeling Techniques  8. Making Data Models Readable  9. Component Design for Relational Databases  10. Practices in Enterprise Data Modeling  11. Integrating Process and Data Models in a Horizontal Organization  12. Object-Oriented Aspects of Windows Component-Based Software  13. Data Warehouse Design: Issues in Dimensional Data Modeling Section III: Data Integrity and Quality Programming Data Constraints Using Microsoft SQL Server  14. Referential Integrity for Database Design  15. AR: An Expanded Version of Referential Integrity for Data Base  16. Data Quality: An Architectural Solution  17. Section IV: Data Administration, Security and Operations  18. Managing Database Backup and Recovery  19. Managing NT Domains for Enterprise Architecture  20. DBMS Recovery Procedures  21. Change Management Strategies for Data Administration  22. Database Security Controls  23. E-Mail Security and Privacy  24. Security Models for Object-Oriented Data Bases  25. Security Management for the World Wide Web  26. Section V: Data Migration and Conversion  27. A Practical Example of Data Conversion  28. Legacy Database Conversion  29. Data Conversion: Doing it Right the First Time  30. Migrating Files to Relational Data Bases Section VI: Database Servers and Universal Servers  31. Creating SQL Server Tables Using DDL Scripts  32. Microsoft SQL Server: Key Transact-SQL Features  33. Selecting Universal Data Server Technology  34. Managing Complex Data Types: Middleware, Universal Data, Data Servers, and Object-Oriented Data Servers