Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
We have a setup created in Power BI Desktop, where we use a Python script to read CSV files as source for our datasets. The CSV files are read from a remote service (AWS S3). On top of these datasets, we have created multiple dashboards.
This setup works nicely on local, and we can trigger update of the source files without any problems. We have also exported the datasets and our dashboards to Power BI cloud/web, so others can access them.
We now want the data refresh to happen from the web/cloud instance, so we don't depend on manual update in our local desktop instance.
Is this possible, when the update is dependent on Python? If it's possible, can you give some hints on how to achieve this?
Thank you!
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 |
---|---|
9 | |
7 | |
2 | |
2 | |
2 |
User | Count |
---|---|
6 | |
5 | |
4 | |
4 | |
4 |