Power BI now connects directly to Fabric data without importing it first
Microsoft made Direct Lake mode generally available in Power BI. Semantic models can now query data stored in OneLake files with the same performance as imported models. The feature requires a Fabric capacity subscription and still operates under existing capacity limits. It removes the need to copy data into Power BI before building reports. This applies to large datasets where traditional import mode created long refresh times or memory issues.
Before this change, analysts either imported everything into Power BI or accepted slow performance on large datasets. Most teams copied data into the tool, waited hours for refreshes, and then dealt with stale numbers when source files changed. Now the data stays in OneLake and Power BI queries it on demand. The practical difference is that reports can load faster and stay current without the long refresh cycles that currently make inherited dashboards painful to maintain.
Analysis
Direct Lake will not fix a messy data model or undocumented Power Query steps. Build a clean star schema on top of your lakehouse first, then test Direct Lake on that model to see whether refresh time actually drops.
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