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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
• Application design
• Prototyping
• Implementation
• Data conversion and loading
• Testing
• Operational maintenance
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
System Definition
• Scope & boundaries
• Applications
Requirement Collection
• Fact-finding techniques
– Interview
– Questionnaires
– Observation
– Documentation
– Experience
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
Database Design
• Approach
– Top-down
– Bottom-up or inside-out
– Mixed
Optimal Logical Data Model
• Structure validity
• Simplicity
• Expressability
• Nonredundancy
• Shareability
• Extensibility
• Integrity
• Diagrammatic representation
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
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
Application Design
• Considerations
– Data
– Transaction type (retrieval, update, or mixture)
• User interface (forms & reports)
– Logical
– Simple
– Error handling
– Help
– Meaningful
– Consistency
– Status
Prototyping
• Type
– Requirement prototyping
– Evolutionary ptototyping
• Pros
– Define user’s requirements
– Quick
– Feasibility test
– Low cost and risk, new technology
• Cons
– Costs
Implementation
• Data definition language (DDL)
• Data manipulation language (DML) or
embedded DML
• Security control
Data Conversion and Loading
• Actual data conversion
• Bridge
Testing
• Learnability
• Performance
• Robustness (tolerant of user error)
• Recoverability
• Adapatability
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
Data Administration Role
• Planning
• Developing and maintaining standard
• Developing policy & procedure
• Design conceptual and logical database
Database Administration Role
• Physical database design
• Security & integrity control
• Performance monitoring
• Tuning database
Points To Remember
• Database Application Lifecycle
• DBMS Selection
• Database Administration
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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m211c9.PPT

  • 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