How Undraleu Works

1. Extract Artifacts

Undraleu accepts ETL/ELT pipeline artifacts from PowerCenter, IDMC, ADF, AWS Glue, Databricks, DataStage, Talend, SSIS, DBT, and PySpark. Artifacts may be exported manually or pulled from Git repositories.

2. Parse and Normalize

Undraleu normalizes structures to build a graph-level understanding of logic, transformations, and data paths.

3. Apply Rule Categories

Each artifact is checked across:

• Performance
• Maintainability
• Housekeeping
• Testability
• Documentation
• Functionality gaps
• Tool abuse
• Impact analysis
• Supportability
• Control evidence

4. Generate Findings

Findings include severity, recommended fixes, and technical context. They can be exported, reviewed, or integrated with issue tracking.

5. Integrate with CI/CD

Undraleu plugs into GitHub Actions, Jenkins, Azure DevOps, GitLab CI, and Bitbucket pipelines to enforce quality gates.

6. Support Audit, Risk, and Vendor Oversight

Outputs include structured evidence and waiver logs for internal audit, model governance, or vendor evaluations.