Forum Discussion
Azure SQL Mirror - Recommendation?
- 1 year ago
acenter41, Thanks for reaching Fabric community support.
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For straightforward transformations, Dataflows Gen2 offers a user-friendly interface with scheduling capabilities.
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For efficient processing of large datasets with frequent changes, Incremental Data Loads with CDC is recommended.
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For complex transformations requiring advanced scripting, Notebooks provides the necessary flexibility.
Thanks,
Prashanth Are
MS Fabric community support
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- 1 year ago
Since Data Pipelines/Dataflows don’t directly support Mirror as a source, use a Fabric Notebook to manually extract and load data.
Hello acenter41
go for hybrid
Create views in the mirrored SQL endpoint to handle lightweight transformations like filtering, basic calculations, or aggregations. This minimizes data movement and leverages the existing mirrored database.
For more complex transformations (e.g., combining datasets, advanced calculations), move data to a Lakehouse or Warehouse.
Connect Power BI directly to the Lakehouse/Warehouse for reports requiring extensive transformations
For simpler reports, connect Power BI directly to SQL views using DirectQuery mode.