Analyze and visualize data in a lakehouse

After data is ingested, transformed, and loaded, it's ready for others to use. Fabric items provide the flexibility needed for every organization so you can use the tools that work for you.

  • Data scientists can use notebooks or Data wrangler to explore and train machine learning models for AI.
  • Report developers can use the semantic model to create Power BI reports.
  • Analysts can use the SQL analytics endpoint to query, filter, aggregate, and otherwise explore data in lakehouse tables.

By combining the data visualization capabilities of Power BI with the centralized storage and tabular schema of a data lakehouse, you can implement an end-to-end analytics solution on a single platform.


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