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When Can Partitioned Compute Help Improve Fabric Dataflow Performance?

Chris Webb's BI Blog
When Can Partitioned Compute Help Improve Fabric Dataflow Performance?

Summary

Partitioned Compute is a new feature in Fabric Dataflows that enables parallel execution of specific operations, significantly enhancing performance. While UI support is currently limited, it can be easily implemented in any Dataflow by adding a single line of M code and checking a box.

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