Reverse ETL Sync Validation (QA)
A checklist with 7 steps: Confirm the source-to-destination mapping matches the client's agreed schema.
By InnovaAI ResearchPublished
Reverse ETL Sync Validation (QA)
- 01
Confirm the source-to-destination mapping matches the client's agreed schema
Verify each field in the reverse ETL sync corresponds to the client's operational tool schema, flagging any mismatches before the pipeline runs.
- 02
Run a dry sync to a staging environment or sandbox
Execute the sync against a non-production destination to catch errors without affecting live client data.
- 03
Compare row counts between source and destination after the sync
Use a simple count query to ensure no records were dropped or duplicated during the transfer.
- 04
Spot-check field-level values for a sample of records
Pick 10-20 records and verify that key fields like email, status, and custom attributes match the source exactly.
- 05
Validate timestamps and incremental sync behavior
Ensure that only new or updated records are synced, and that the last-sync timestamp is correctly recorded.
- 06
Test the destination's data quality rules and required fields
Confirm that the destination tool accepts the data format and that all mandatory fields are populated to avoid errors in downstream workflows.
- 07
Document the validation results and any remediation steps
Record the validation outcome in the client's project log, noting any issues found and how they were resolved.