Client Data Warehouse Health Check (QA)

Client Data Warehouse Health Check (QA)

1. 01

   Verify data freshness across all integrated sources

   Confirm that each source system's last sync timestamp falls within the agreed service level agreement, typically 24 hours for daily pipelines and 1 hour for streaming feeds.

2. 02

   Run row count and checksum comparisons between source and warehouse

   For a sample of critical tables, compare record counts and aggregate checksums to catch silent data loss or duplication introduced during extraction or loading.

3. 03

   Test query performance on representative reporting workloads

   Execute the top five client-facing dashboard queries and measure response times against the performance baseline. Flag any query that exceeds two times the baseline for optimization.

4. 04

   Review storage cost against usage patterns

   Analyze the monthly bill and identify cold data that could be moved to lower-cost tiers, such as object storage with flat-rate pricing, to reduce spend without impacting active analytics.

5. 05

   Validate access controls and data masking rules

   Ensure that only authorized team members can read sensitive columns and that any masking or redaction policies are still applied correctly after schema changes.

6. 06

   Check for schema drift in upstream source systems

   Compare the current source schemas against the warehouse mappings. Document any new or removed columns and assess whether they break existing transformations or reports.

7. 07

   Confirm backup and recovery procedures are operational

   Perform a restore test on a non-production environment to verify that backups are complete and recoverable within the agreed recovery time objective.