1. Chapter 9 & 10 Database Planning, Design and Administration

2. Agenda Database Application Lifecycle DBMS Selection Database Administration

3. Database Application Lifecycles Database planning Systems definition Requirements collection and analysis Database design DBMS selection Application design Prototyping Implementation Data conversion and loading Testing Operational maintenance

4. Database Planning Business goals, plans, and needs –Mission statements –Mission objectives Current information systems evaluation –Strengths –Weaknesses IT opportunities for competitive advantages Corporate data model –User needs –Standards –Legal requirement

5. System Definition Scope & boundaries Applications

6. Requirement Collection Fact-finding techniques –Interview –Questionnaires –Observation –Documentation –Experience

7. Requirement Analysis Requirements specification technique –Structured Analysis and Design (SAD) –Data Flow Diagram (DFD) –Hierarchical Input Process Output (HIPO) –Computer-Aided Software Engineering (CASE) –Unified Model Language (UML) Approach –Centralized –View integration (local data model and global data model) –Combination

8. Database Design Approach –Top-down –Bottom-up or inside-out –Mixed

9. Optimal Logical Data Model Structure validity Simplicity Expressability Nonredundancy Shareability Extensibility Integrity Diagrammatic representation

10. Phase of Database Design Conceptual database design –Independent of physical consideration Logical database design –Normalization –Specific data model Physical database design –Relational tables and constraints –Storage structures and access methods –Security protection

11. DBMS Selection Steps –Define terms of reference of study –Shortlist two or three products –Evaluate products (feature, comment, rating weight, and score) Selection Criteria –Data definition –Physical definition –Accessibility –Transaction handing –Utilities –Development –Other features

12. Application Design Considerations –Data –Transaction type (retrieval, update, or mixture) User interface (forms & reports) –Logical –Simple –Error handling –Help –Meaningful –Consistency –Status

13. Prototyping Type –Requirement prototyping –Evolutionary ptototyping Pros –Define user’s requirements –Quick –Feasibility test –Low cost and risk, new technology Cons –Costs

14. Implementation Data definition language (DDL) Data manipulation language (DML) or embedded DML Security control

15. Data Conversion and Loading Actual data conversion Bridge

16. Testing Learnability Performance Robustness (tolerant of user error) Recoverability Adapatability

17. CASE Tools Computer-Aided Software Engineering (CASE) Types –Upper-Case: planning to design –Lower-Case: implementing, test, performance –Integrated-Case Benefits: –Productivity (effectiveness and efficiency) –Standard –Integration (repository) –Support structured methods –Consistency –Automation

18. Data Administration Role Planning Developing and maintaining standard Developing policy & procedure Design conceptual and logical database

19. Database Administration Role Physical database design Security & integrity control Performance monitoring Tuning database

20. Points To Remember Database Application Lifecycle DBMS Selection Database Administration

21. Assignment Review chapters 1-10, appendix c Read chapters 11-12 Oracle assignment due date: 2 nd exam : chapters 5, 6, 9,10, 11, and 12