Testing Data Vault-based Data Warehouse Apr 2026

Data Vault excels at "insert-only" logic. Your tests should mirror this.

Run the same load twice. The system should recognize the data exists and result in zero new inserts. Testing Data Vault-Based Data Warehouse

Intentionally feed "bad" data into the pipeline to ensure it is caught by error Satellites rather than crashing the load. Success Metrics (KPIs) Data Vault excels at "insert-only" logic

Insert a record with a modified attribute. Verify that a new Satellite record is created with the updated data while the old record remains (historical tracking). The system should recognize the data exists and

Check that Satellites are correctly attached to their parent Hub/Link and that the Hash_Diff (used for change detection) is calculating correctly. 2. Load Pattern Testing (Technical ETL)

Verify that the hashing algorithm (MD5 or SHA-1) produces identical keys for the same business keys across different source systems. 4. Point-in-Time (PIT) & Bridge Table Validation

Since Data Vault is pattern-based, the first layer of testing ensures the "plumbing" follows the methodology.