For most of the last decade, the honest answer to "should we standardize on Databricks or on the Microsoft data platform?" was: pick one and live with the seams. Teams that ran Azure Databricks for engineering and Microsoft Fabric (or Synapse before it) for BI ended up maintaining two copies of the same tables, two governance models, and a nightly export job that nobody wanted to own. The duplication was not a technical accident. It was the price of two platforms disagreeing about where the byte...