Data Modeling

Purpose

Design effective data models for databases and data warehouses, using normalization for transactional systems and dimensional modeling for analytics systems.

When to Use

• Designing new database schemas
• Building data warehouses or data marts
• Creating analytics platforms
• Planning data migration projects
• Optimizing existing data structures
• Designing for reporting and BI tools

Key Capabilities

1. Dimensional Modeling - Design star and snowflake schemas for analytics
2. Normalization - Apply normal forms for transactional databases
3. Entity-Relationship Design - Model entities, attributes, and relationships