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Use Microsoft OneLake as a data source

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Important

Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned

Enabled for Public preview General availability
Admins, makers, marketers, or analysts, automatically Jun 2025 -

Business value

Dynamics 365 Customer Insights helps generate insights from all of your customer data no matter where it is stored. Directly read your customer data stored in Microsoft Fabric OneLake or in external systems made available through Fabric's mirroring or shortcut capabilities into Customer Insights - Data. Focus on generating the insights you need while reducing the effort, cost, and time needed to move, integrate, and transform your customer data.

Feature details

Easily explore and select customer data stored in your OneLake for processing in Customer Insights - Data. The OneLake data connector attaches directly to your OneLake data, eliminating the need to copy data.

Screenshot of a OneLake connector that allows data to be ingested from a OneLake.

  • Accelerate data unification and time to insights with incremental processing of OneLake data. Only the recently changed data is processed, dramatically reducing processing times.
  • Use Fabric shortcuts and mirroring to quickly integrate data from different external sources and unify in Customer Insights - Data.

Scenario

Contoso has configured Customer Insights - Data to read in all their customer data from Microsoft Fabric. Because Contoso has shortcuts and mirroring, all their external data as well as their Azure hosted data is available to Customer Insights in their OneLake. Customer Insights - Data reads data directly from OneLake without creating separate copies. Because OneLake uses the Delta format, the unification of their OneLake data only needs to process the changed data, allowing them to get insights faster than ever. Using OneLake as their data source enables Contoso to eliminate their previous slow and expensive ETL operations to move and transform data.