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.
Where you mention to move data to a Lakehouse or Warehouse for complex transformations, how would you move the data from the Mirror to the lh/wh? The mirror does not seem to appear as a source when trying to move data from it using a pipeline or dataflow.
Since Data Pipelines/Dataflows don’t directly support Mirror as a source, use a Fabric Notebook to manually extract and load data.