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1.0 The Context
1.1 Integrated Database
1.2 The Traditional Approach
1.3 Approach Comparison
1.4 The Promise of Database
1.5 Going Database Good "War stories"
1.6 Database Architecture Classes
2.0 Data Management Goals
3.0 Data Interoperability Architecture Components
4.0 Frameworks and Reference Models
4.1 The Case for Multiple Frameworks
4.2 Common Frameworks
4.3 A Framework for the Knowledge Worker
4.4 The Metadata Repository: the Framework Integrator
4.5 Metadata Repository
4.6 Repository Level-Pairs
4.7 Bringing It all Together
4.8 Intersecting Database Projects and Architecture Frameworks
5.0 Data Management
5.1 Basic Definitions
5.2 Data Management Plan Environment
5.3 Data Management Operational Environment Support
5.4 Data Management Development/Prototyping Environment Support
5.5 Data Management Core Models
5.6 Key Processes within the Environment
6.0 Community of Interests
7.0 Classes of Database Projects
7.1 Forward Engineering
7.2 Reverse Engineering
8.0 Data Management Project Management
9.0 Information Systems Plans (ISP)
10.0 Data Management Workshops
10.1 Mission, Organization, Function, and Positions
10.2 Database Domains
10.3 Database Objects
10.4 Information Needs
10.5 Resource Life Cycle Analysis
10.6 Data Elements
10.7 Specified Data Model
10.8 Implemented Data Model
10.9 Operational Data Models
10.10 View Data Models
10.11 Data Modeling Summary
10.12 Business Information Systems
10.13 SQL Generation and Application Generation
11.0 Putting the Metadata Repository to Work
11.1 Forward Engineering Workshop
11.2 Reverse Engineering Workshop
12.0 Achieving Data Management Goals
13.0 Course Summary
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