Testing Data Vault-based Data Warehouse гЂђ8K В· 2KгЂ‘

The "Information Mart" layer is where users actually query the data.

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). Testing Data Vault-Based Data Warehouse

Query a PIT table for a specific date in the past. Verify it correctly identifies the "active" Satellite records for that timestamp. 5. Business Vault & Logic Testing The "Information Mart" layer is where users actually

The Business Vault contains transformed data (e.g., calculated fields or cleaned addresses). Query a PIT table for a specific date in the past

Ensure "Zero Keys" or "Ghost Records" exist in Hubs to handle late-arriving data or missing lookups without breaking the model. 3. Data Integrity & Reconciliation This ensures that "what went in is what came out."

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. Your tests should mirror this.