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Chapter 9 & 10

Chapter 9 & 10. Database Planning, Design and Administration. Agenda. Database Application Lifecycle DBMS Selection Database Administration. Database Application Lifecycles. Database planning Systems definition Requirements collection and analysis Database design DBMS selection

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Chapter 9 & 10

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  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: • 2nd exam : chapters 5, 6, 9,10, 11, and 12

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