1. Chapter 9 & 10 Database Planning, Design and Administration Database Application Lifecycle DBMS Selection Database Administration

2. 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

3. Database Planning Business goals and plans Information systems needs Corporate data model –user needs –legal requirement

4. System Definition Scope & boundaries Applications

5. Requirement collection Interview Questionnaires Observation Documentation Experience

6. Requirement Analysis Data centered approach –Entity-Relationship (ER) diagram –Normalization Process center approach –Structured Analysis and Design (SAD) –Data Flow Diagram (DFD) –Hierarchical Input Process Output (HIPO)

7. Database Design Approaches –Top-down –Bottom-up or inside-out –Mixed Components –Logical –Physical

8. Logical Database Design Steps –Conceptual data model –Logical data model (normalized & specific data model) –Global logical data model Approaches –Centralized –View integration

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

10. Physical Database Design Storage structure Access method Security protection

11. Application Design Transactions –Retrieval –Update –Mixed User interface (forms & reports) –Logical –Simple –Error handling –Help –Meaningful –Consistency –Status

12. 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

13. Prototyping Working model 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 & integrity control

15. Data Conversion and Loading Actual data conversion Bridge

16. Testing Top-down Bottom-up Thread Stress

17. Operational Maintenance Monitoring Tuning Upgrading

18. DBMS Selection Criteria Development or end-user language Data structure Flexibility Security & Privacy Restart & Recovery Integrity Hardware & software requirements Performance Monitoring Ease of use Data dictionary Teleprocessing Design tools Vendor support Costs Future

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

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

21. Assignment Review chapter 9-10 Read chapter 11-12