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Two features are missing in order to use MLVs to create a dimensional model: Identity insert and Merge. Cf. Databrics Lakeflow.
MLV could be a game changer for data warehousing with these features included. Without solution is only partial and now relies on additional steps (workarounds) to create actual SCD Type 1/2 dimensions and then (re-)refresh MLV fact tables relying on those dimensions. Fabric team, you are only half way there with MLV - please don't stop yet.
Also, running into error when trying to create MLVs with spaces in column name, e.g. `Customer Name`. Would also require significant workarounds to use MLVs with Direct lake Power BI semantic models without proper column naming allowed.
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