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DAXPerformanceMedium

Calculated columns on a fact table

"Calculated columns on a fact table" is one of the performance checks Auditabi runs on a Power BI semantic model. n calculated column(s) live on a fact table. It is a medium-severity finding: the model still works, but results are wrong in some filter contexts, slow, or fragile under change. Create them in Power Query (or the source) so they compress like any other column, unless they depend on other model tables.

What is detected

n calculated column(s) live on a fact table. They are computed at refresh, stored uncompressed relative to source columns, and cannot fold to the source.

Why it matters

Severity depends on how many objects are affected.

How to fix it

Create them in Power Query (or the source) so they compress like any other column, unless they depend on other model tables.

Reference

Microsoft: Power BI modeling guidance — calculated columns

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