Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi All,
I currently have a bit problem with Power BI service lagging for people with slower internet and computers. There are a lot of visuals and dax measures.
My question is, will managing data and creating visuals with python speed it up?
Hi @Krcmajster
If you are looking to improve the performance of your reports, you can start with Performance Analyzer ( new future in the View Tab ).
The Performance Analyzer will be able to highlight where is the issue ( eg. Visuals or DAX ), once you know the problem, you can start looking at solutions.
If you are using Power BI's built in visuals, this should be optimised already, so I don't think you will be able to improve much with Python.
What do you mean by managing data, are you thinking to prep data in query editor?
Hi @Krcmajster
Using Python in query editor could potentially improve the time it takes to load the data model ( data set ), this wold not have an impact on the responsiveness or the load of the report itself, I'm not a python expert but query editors M language should be optimised and fast enough as its native to Power BI, and can leverage municipalities like Query folding.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
114 | |
99 | |
83 | |
70 | |
60 |
User | Count |
---|---|
149 | |
114 | |
107 | |
89 | |
67 |