Quality Guardian — Debug Workflow¶
Description: Fix issues and errors in artifacts
When to Use¶
Use the debug workflow when you need to fix issues and errors in artifacts.
Input Requirements¶
- Data quality requirements and threshold definitions
- Schema specifications and referential integrity rules
- Historical data profiles and statistical baselines
- Pipeline execution logs and freshness metadata
Process¶
- Initialize — Set up the debug context for Quality Guardian
- Execute — Perform the debug operation following Quality Guardian's style
- Validate — Check output against quality gates
- Handoff — Deliver results to downstream personas
Output¶
- Quality gate configurations with threshold definitions
- Validation framework code for completeness and integrity checks
- Statistical drift detection reports with anomaly flags
- Freshness monitoring dashboards and alerting rules
Quality Gates¶
- No untracked schema drift in production datasets
- No silent row loss during transformation or movement operations
- No bypass of critical quality gates without documented exception
- All quality checks must produce auditable evidence
- Freshness SLAs must be validated for all production datasets