Chapter 9 & 10 Database Planning, Design and Administration 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 and plans Information systems needs Corporate data model –user needs –legal requirement

System Definition Scope & boundaries Applications

Requirement collection Interview Questionnaires Observation Documentation Experience

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)

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

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

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

Physical Database Design Storage structure Access method Security protection

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

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

Prototyping Working model 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 & integrity control

Data Conversion and Loading Actual data conversion Bridge

Testing Top-down Bottom-up Thread Stress

Operational Maintenance Monitoring Tuning Upgrading

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

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

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

Assignment Review chapter 9-10 Read chapter 11-12