This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hello, I'm researching the trade-offs in creating a three stage Deployment Pipeline (dev, test, and prod) vs. one with just two. The benefits of having all three seem clear, but I'm not sure how much additional manual effort that requires in deploying content from one stage (and workspace) to the next. A couple of specific questions about that, but I welcome other considerations that I may not be thinking of:
Would the connections from a desktop PBIX file to the dataflows feeding it need to be manually updated in deploying to a new workspace since I believe their ids would be different? Or do business rules, parameters, or some other aspect of the platform take care of that - or at least make it manageable for an environment with a number of dataflows.
This isn't specific to pipelines, but if a report is updated in any workspace outside of production, is it possible to maintain the existing business user bookmarks for that report in production or would they need to be reset by the users after the updated report is deployed?
Thank you.
Solved! Go to Solution.
There's auto binding of datasets to their source dataflows, to they extent they're all deployed across the deployment pipeline workspaces:
https://learn.microsoft.com/en-us/power-bi/create-reports/deployment-pipelines-process#auto-binding
Thank you.
There's auto binding of datasets to their source dataflows, to they extent they're all deployed across the deployment pipeline workspaces:
https://learn.microsoft.com/en-us/power-bi/create-reports/deployment-pipelines-process#auto-binding
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 10 | |
| 8 | |
| 7 | |
| 6 | |
| 6 |
| User | Count |
|---|---|
| 23 | |
| 22 | |
| 21 | |
| 19 | |
| 16 |