Database Development Process Notes

Enterprise Data Model

  • First step in database development.
  • Specifies scope and general content.
  • Provides an overall picture of organizational data at a high level of abstraction.
  • Utilizes an entity-relationship diagram.
  • Includes descriptions of entity types.
  • Details relationships between entities.
  • Defines business rules.
  • Example: A retail company's EDM would include entities like customers, products, and orders, and relationships such as "customer places order."

Information Systems Architecture (ISA)

  • Conceptual blueprint for an organization’s desired information systems structure.
  • Components:
    • Data (e.g., Enterprise Data Model – simplified ER Diagram).
    • Processes (data flow diagrams, process decomposition).
    • Data Network (topology diagram).
    • People (people management using project management tools like Gantt charts).
    • Events and points in time (when processes are performed).
    • Reasons for events and rules (e.g., decision tables).
  • Healthcare Organization Example:
    • Business Architecture: Defines org structure, goals & processes.
    • Data Architecture: Describes data structure, storage & access.
      • Entities: Patient, Doctor, Appointment, etc.
      • Relationships: Patient has Appointment with Doctor.
    • Application Architecture: Software applications for business processes & data.
    • Technology Architecture: Infrastructure to support applications.

Information Engineering

  • A data-oriented methodology to create and maintain information systems.
  • Top-down planning: A generic IS planning methodology for broad understanding of IS needs.
  • Four Steps:
    • Planning
    • Analysis
    • Design
    • Implementation
  • Bank example: Improving online banking with real-time fraud detection:
    • Data Collection.
    • Data Analysis.
    • System Design.
    • Integration.
    • Optimization.

Information Systems Planning

  • Purpose: Align information technology with organization’s business strategies.
  • Three Steps:
    1. Identify strategic planning factors.
    2. Identify corporate planning objects.
    3. Develop enterprise model.
  • Retail Company Example: Enhancing customer experience and supply chain management.
    • Strategic Alignment Assessment.
    • Gap Analysis.
    • Objectives: Centralized database for inventory, unified e-commerce and in-store tracking.
    • Implementation Plan.
    • Budgeting.
    • Monitoring.

Identify Strategic Planning Factors

  • Organization goals – what we hope to accomplish.
  • Critical success factors – what MUST work in order for us to survive.
  • Problem areas – weaknesses we now have.
  • Retail Company Example (Omnichannel Retail):
    • Critical Success Factors.
    • Business Goals.
    • External Influences.
    • Internal Capabilities.
    • Risk Factors.

Identify Corporate Planning Objects

  • Process of determining key entities and resources critical to achieving strategic goals.
  • Focuses on understanding what needs to be managed, monitored, and improved.
  • Retail Company Example (Enhance Omnichannel Experience):
    • Business Entities.
    • Business Processes.
    • Data Objects.
    • Organizational Units.
    • Strategic Assets.

Develop Enterprise Model

*Functional decomposition: Breaking down a complex system into smaller, manageable components.
*Planning Matrices: Tools to visualize and organize project elements for task allocation and resource management.

  • Example Business Function-to-Data Entity Matrix:
Business FunctionCustomerProductRaw MaterialOrderWork CenterWork OrderInvoiceEquipmentEmployee
Business PlanningXX
Product DevelopmentXXX
Materials ManagementXXXXX
Order FulfillmentXXXXXXXX
Order ShipmentXXXXX
Sales SummarizationXXXX
Production OperationsXXXXXXX
Finance and AccountingXXXXXXXX

Approaches to Database and IS Development

  • SDLC (System Development Life Cycle)
    • Detailed, well-planned development process.
    • Time-consuming, but comprehensive.
    • Long development cycle.
  • Prototyping (Rapid Application Development - RAD)
    • Cursory attempt at conceptual data modeling.
    • Define database during development of initial prototype.
    • Repeat implementation and maintenance activities with new prototype versions.

Systems Development Life Cycle (SDLC) Steps

  • Project Identification and Selection, Purpose: preliminary understanding, Deliverable: request for project , Database activity: enterprise modeling
  • Project Initiation and Planning, Purpose: state business situation and solution, Deliverable: request for analysis, Database activity: conceptual data modeling
  • Analysis, Purpose: thorough analysis, Deliverable: functional system specifications, Database activity: conceptual data modeling
  • Logical Design, Purpose: information requirements structure, Deliverable: detailed design specifications, Database activity: logical database design
  • Physical Design, Purpose: develop technology specs, Deliverable: program/data structures, technology purchases, organization redesigns, Database activity: physical database design
  • Implementation, Purpose: programming, testing, training, installation, documenting, Deliverable: operational programs, documentation, training materials, Database activity: database implementation
  • Maintenance, Purpose: monitor, repair, enhance, Deliverable: periodic audits, Database activity: database maintenance

RAD (Rapid Application Development)

  • A software development methodology prioritizing rapid prototyping and quick feedback over extensive planning.
  • Focuses on iterative development and delivering applications quickly.

Prototyping Methodology and Database Development Process

  • Identify problem.
  • Develop initial prototype.
  • Implement and use prototype.
  • If prototype is inefficient, revise and enhance prototype based on new requirements.
  • Convert to operational system.
  • Conceptual data modeling: analyze requirements, develop preliminary data model
  • Logical database design: analyze requirements in detail, integrate database views into conceptual data model
  • Physical database design and definition: Define new database contents to DBMS, decide on physical organization for new data, design database processing programs
  • Database implementation: code database processing, install new database contents, usually from existing data sources
  • Database maintenance: analyze database to ensure it meets application needs, fix errors in database, tune database for improved performance

Project Management Charts

  • Gantt Chart: Shows the amount of work done or production completed in certain periods of time in relation to the amount planned for those periods.
  • PERT Chart: (Program Evaluation and Review Technique) Visually represents project tasks, dependencies, and timelines.