Fundamentals of Data Modeling and Database Design

📋 Course Outline

1. Data Modeling Importance
2. Data Model Components
3. Business Rules Discovery
4. Entity-Relationship Model
5. Hierarchical and Network Models
6. Relational Model
7. Object-Oriented Model
8. Extended Data Models
9. Big Data and NoSQL
10. Data Abstraction Levels
11. External Data View
12. Conceptual Data Model

📖 1. Data Modeling Importance

🔑 Key Concepts & Definitions

• Data Model (from Database Systems, 10th Edition): A relatively simple, often graphical, abstraction that represents complex real-world data structures, facilitating understanding and design of databases. It helps reduce complexity and bridges various user views.
• Entity: An object or thing about which data are stored; a fundamental building block in data modeling.
• Relationship: An association between entities that describes how they interact or are connected, such as one-to-many (1:M), many-to-many (M:N), or one-to-one (1:1).
• Business Rules (from Database Systems, 10th Edition): Formal policies, procedures, or principles within an organization that define data characteristics and operations; essential for guiding database design and ensuring data consistency.
• Data Abstraction Levels (from Database Systems, 10th Edition): Frameworks (external, conceptual, internal, physical) that organize how data is viewed and managed at different layers, enabling separation of concerns and flexibility in design.
• Object-Oriented Data Model…