Sponsored by: Microsoft | Next-Level Analytics with Power BI and Databricks

The widely-adopted combination of Power BI and Databricks has been a game-changer in providing a comprehensive solution for modern data analytics. In this session, you’ll learn how self-service analytics combined with the Databricks Lakehouse Platform can allow users to make better-informed decisions by unlocking insights hidden in complex data. We’ll provide practical examples of how organizations have leveraged these technologies together to drive digital transformation, lower total cost of ownership (TCO), and increase revenue. By the end of the presentation and demo, you’ll understand how Power BI and Databricks can help drive real-time insights at scale for organizations in any industry.
Talk by: Bob Zhang and Mahesh Prakriya
Connect with us: Website: databricks.com
Twitter: / databricks
LinkedIn: / databricks
Instagram: / databricksinc
Facebook: / databricksinc

[@user-iz4eg2ml9d]

How to send the output of a databricks python notebook directly to powerBI?

[@manuelgpri]

I am even more confused than before:
-OneLake is a "lakehouse / warehouse platform". Is there a real integration with Databricks (which is another lakehouse platform) ?
-"Direct Lake Mode" is presented as a new connnection mode. Is this only meant for OneLake? Or can the lake be databricks?
-The demo part presents the usual ways we know about how to connect Power BI and databricks, "Direct Lake Mode" is not mentioned at all.
The over arching question is still: Should databricks customers consider moving to OneLake to leverage the tight integration with Power BI (stop having to copy data from Databricks to Power BI / Fabric workspaces OR suffer the slower performance of Direct Query) or will Databricks be somehow included in the equation?

[@josephjoestar995]

Have exactly the same question with my organisation at the moment and have no clue