dbt-transformation-patterns

What problem does it solve?

This Skill provides a comprehensive guide and practical patterns for building robust and maintainable data transformation pipelines using dbt (data build tool).

Core Features & Use Cases

• Model Organization: Implement the Medallion architecture (staging, intermediate, marts) for clear data layering.
• Testing & Documentation: Integrate data quality tests and documentation for better data governance.
• Incremental Strategies: Optimize performance for large datasets using incremental models.
• Use Case: When setting up a new dbt project or refactoring an existing one to follow industry best practices for analytics engineering.

Quick Start

Execute the dbt run command to build all models in your dbt project.