- Examples include new columns added, column renamed, or datatype modified.
- In my project, API changed “CustomerName” to “ClientName” and refresh failed.
- Power BI mappings then broke because expected column was missing.
- Scheduled refresh started failing overnight for production reports.
- Even datatype change like text to numeric caused conversion errors.
- We added dynamic column handling and monitored refresh alerts.
- Staging layer helped map old and new fields temporarily.
- Reconciliation detected missing data early before business usage.
- So schema drift impacts extraction stability and requires proactive monitoring.
What is schema drift and how does it impact extraction?
Updated on February 9, 2026
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