Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
We have a Fabric notebook that integrates with an external LMS to create different tables containing user data with similar schemas. I now want to combine the tables into one, taking select columns and performing various conversions across them to the output. I have the SQL written to do everything I need (but I don't have to use SQL) but since Fabric is very visual it doesn't look like there is any kind of a "just run this SQL" kind of transform I can use anywhere... What would be the best way to achieve this?
Solved! Go to Solution.
Hi @jragan ,
In Microsoft Fabric, a data warehouse provides a relational database for large-scale analytics. Unlike the default read-only SQL endpoint for tables defined in a lakehouse, a data warehouse provides full SQL semantics.
Please refer: mslearn-fabric (microsoftlearning.github.io)
In addition, Apache Spark can also be used in conjunction with laptops to work with SQL data.
Please refer: mslearn-fabric (microsoftlearning.github.io)
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @jragan ,
In Microsoft Fabric, a data warehouse provides a relational database for large-scale analytics. Unlike the default read-only SQL endpoint for tables defined in a lakehouse, a data warehouse provides full SQL semantics.
Please refer: mslearn-fabric (microsoftlearning.github.io)
In addition, Apache Spark can also be used in conjunction with laptops to work with SQL data.
Please refer: mslearn-fabric (microsoftlearning.github.io)
Best Regards,
Neeko Tang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
49 | |
32 | |
27 | |
27 | |
26 |
User | Count |
---|---|
61 | |
56 | |
34 | |
29 | |
28 |