Data Vault-based Data Warehouse — Testing

Validate that business rules applied in the Business Vault match the requirements.

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 Testing Data Vault-Based Data Warehouse

You should be able to trace any record in a Star Schema back to its specific Hub and Source system. Validate that business rules applied in the Business

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) Point-in-Time (PIT) & Bridge Table Validation You should

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

Confirm Links correctly map relationships between Hubs. Test for referential integrity (though often not enforced by DB constraints in DV, it must be validated via query).

Run row counts and sum-checks between the Source Landing Zone and the Raw Vault.