Data Monitoring / Power BI Refresh & Data Reliability
Power BI: Partial upstream publication
A refresh reads a fact table while its dimension update is still in progress. Compare batch identifiers and publication markers across all required source tables.
Environment and inputs: Power BI Desktop and Power BI service; gateway, connector, capacity and license capabilities depend on the deployed configuration.
Failure scenario
A refresh reads a fact table while its dimension update is still in progress. Confirm the cause before choosing a fix.
Evidence to collect
Compare batch identifiers and publication markers across all required source tables. Record the time, affected scope and a healthy comparison interval.
Fix the confirmed cause
Refresh from a consistent published batch or introduce an upstream readiness gate. Write the expected result first. Change one relevant setting at a time.
Check the result and hand over
Repeat the check for partial upstream publication using the same scope and a representative interval. Check that the symptom is resolved, expected records are present and downstream results are correct. If coverage, correctness or latency worsens, restore the recorded configuration through the agreed rollback process.
Scope and precautions
Prefer read-only access and limit queries to the relevant period or dataset. This example has not been tested on your systems. Test changes in an approved environment. Keep credentials and sensitive data out of shared evidence.