When Translytical Task Flow meets Fabric Data Function
Proposed session for SQLBits 2026TL; DR
See Translytical Task Flow in action: It combines Fabric User Data Functions (Python functions that can amongst others access and modify data) with Power BI actions to call them, and Power BI visuals that provide input to them.
Session Details
User Data Functions in Fabric are Python functions which you can write once and then reuse in different Fabric items. These functions can modify data, call web services, or just do complex calculations.
Once written, you can call these functions from Fabric Notebooks etc. But the most interesting use case is calling them from Power BI. A new type of action becomes available on buttons: Calling the Data Functions!
In this demo-rich session, you will first learn how to develop User Data Functions, both for transforming data as well as accessing data.
Afterwards you see how to invoke these user data functions in Fabric and how to link the with your Power BI reports.
Once written, you can call these functions from Fabric Notebooks etc. But the most interesting use case is calling them from Power BI. A new type of action becomes available on buttons: Calling the Data Functions!
In this demo-rich session, you will first learn how to develop User Data Functions, both for transforming data as well as accessing data.
Afterwards you see how to invoke these user data functions in Fabric and how to link the with your Power BI reports.
3 things you'll get out of this session
Writing Fabric Data Functions
Accessing data from Fabric Data Functions
Combine Fabric data functions with Power BI actions and visuals
Speakers
Nico Jacobs's other proposed sessions for 2026
Fabric Data Agents - 2026
The Power of Paginated Reports - 2026
What are Fabric Materialized Lake Views - 2026