Findable
Every table and model is cataloged and searchable in Purview, the OneLake catalog or Unity Catalog, so people find data instead of pinging a colleague.
A clean migration does not just move your data, it makes it answerable. On Microsoft Fabric and Databricks, your modeled, documented and governed data is ready for the platform’s own AI, Copilot and Genie, so anyone can ask a question in plain language and get an answer. It is one more reason the destination is worth the move.
Once your estate is migrated, your data is not just running, it is modeled and documented. That is the difference between an AI assistant that guesses and one that answers: Microsoft Fabric Copilot and Databricks Genie read your semantic model, your data dictionary and your lineage to turn a plain-language question into a real query over governed data.
Who were our top 5 customers by revenue last quarter, and how did they trend versus the quarter before?
Your top 5 customers by revenue in Q1 were Contoso, Fabrikam, Adventure Works, Northwind and Tailspin Toys. Contoso and Northwind drove the growth; Adventure Works slipped 6% versus Q4.
Native to Microsoft Fabric (Copilot) and Databricks (Genie). The migration delivers the modeled, documented data that makes the answers trustworthy.
The capability is the platform’s. The reason it works on your data is the migration: modeled, documented and governed, it is ready to be asked.
Every table and model is cataloged and searchable in Purview, the OneLake catalog or Unity Catalog, so people find data instead of pinging a colleague.
Type a question the way you would ask a teammate. Copilot and Genie turn it into a real query against your model and return the answer.
Because the model is documented, governed and tested, the assistant has the context to answer correctly, with the lineage to back it up.
It comes with Microsoft Fabric and Databricks. No extra licence and no bolt-on tool, just a capability your migration unlocks.
Both destinations ship this in the box. The migration is what makes either one trustworthy: a clean model, documented and tested, is the context the assistant needs to answer correctly.
Copilot across Data Engineering, Data Warehouse and Power BI, plus natural-language Q&A on your reports and semantic models.
Genie spaces and the AI/BI experiences answer questions over your Unity Catalog data in plain language, with the SQL shown.
Not sure which destination fits? Compare Fabric and Databricks → Either way, the knowledge base and the model you keep are what make the answers good.
No. Natural-language querying is a native feature of the platforms you move to: Copilot in Microsoft Fabric and Power BI, and Genie in Databricks. What the migration adds is the modeled, documented, governed data that makes those answers reliable.
An AI assistant is only as good as the model underneath it. The migration leaves you a clean semantic model, a data dictionary, lineage and tests, which is exactly the context Copilot and Genie use to return a correct answer instead of a guess.
On Microsoft Fabric: Copilot across the workloads and natural-language Q&A in Power BI. On Databricks: Genie and the AI/BI experiences. Either target ships them, so you do not buy a separate tool. Compare Fabric and Databricks →
No. Your data stays in your own tenant and your platform’s own governance. Your code and data are used for your migration only, never to train models.
The estate assessment shows the model you would keep, the foundation that lets Fabric Copilot or Databricks Genie answer questions over your data after the move.
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