Module 4: Data Modeling

Module Overview

Understand data normalization and create complex table relationships.

Learning Objectives

  • Understand data normalization principles
  • Apply normal forms to database design
  • Design and implement complex relationships
  • Balance normalization with performance considerations

Module Content

1. Data Normalization

Learn the principles of database normalization:

  • First Normal Form (1NF)
  • Second Normal Form (2NF)
  • Third Normal Form (3NF)
  • Benefits and trade-offs of normalization

2. Complex Table Relationships

Design and implement more complex database relationships:

  • One-to-many implementations
  • Many-to-many with junction tables
  • Self-referencing relationships
  • Polymorphic relationships

3. Advanced Data Modeling

Master advanced concepts in data modeling:

  • Entity-Relationship modeling
  • Inheritance and hierarchies
  • Handling temporal data
  • Versioning and history tracking

4. Performance Considerations

Balance normalization with performance needs:

  • When to denormalize for performance
  • Indexing strategies for complex models
  • Optimizing for read vs. write operations
  • Query performance with complex joins

Additional Resources

Database Normalization Guide Normalization in Simple English Knex.js Schema Builder Guided Project Repository

Reminder

Data modeling is both an art and a science. Balance normalization principles with practical considerations for your specific application needs.