Handbook of Data Management: 1999 Edition

✍ Scribed by Sanjiv Purba (Author)

• Publisher: Auerbach Publications
• Year: 1998
• Leaves: 1104
• Edition: 1
• Category: Library

✦ Synopsis

Packed with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to:

implement Web-enabled data warehouses

build multimedia databases

master data mining

use enterprise database modeling

stay up-to-date with data conversion and migration

maximize OLAP architectures and tools

Handbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding:

organization for quality information systems

data definition

database design and management

object and hybrid databases

and more

Each contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won`t find anywhere else.

Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.

✦ Table of Contents

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

✦ Subjects

Computer Science;Databases