Data Testing

Purpose

Implement automated data testing across the data platform: unit tests for dbt models, regression detection between environments, data quality validation with Soda/Great Expectations, and CI/CD gates for data pipeline changes.

Agent Protocol

Trigger

Exact user phrases: "data testing", "dbt testing", "dbt unit test", "data-diff", "datafold", "Soda", "Great Expectations", "data regression", "data quality test", "data contract test", "data testing framework", "data validation test", "test data pipeline".

Input Context

Before activating, verify:

• Data transformation tool (dbt, SQLMesh, custom)
• Testing infrastructure (Soda Cloud, Great Expectations, datafold, data-diff)
• CI/CD platform (GitHub Actions, GitLab CI, Jenkins)
• Environments (dev, staging, prod) and data sources
• Data contracts or SLAs in place
• Existing test coverage and failure patterns