Connect Semantic Model from other workspace

hi Anonymous 

Enable Cross-Workspace Semantic Model Usage
To allow semantic models to be shared across workspaces, the Microsoft Fabric administrator must enable the necessary tenant setting:
• Open the Microsoft Fabric Admin Portal.
• Navigate to Tenant Settings.
• Search for “semantic models.”
• Under Workspace Settings, locate the option Use semantic models across workspaces and toggle it on.
• Optionally, restrict this setting to specific security groups for governance purposes.
• Click Apply to save changes

https://biinsight.com/microsoft-fabric-unlocking-the-secrets-to-mastering-shared-semantic-models-part-2-implementation/#google_vignette

https://learn.microsoft.com/en-us/power-bi/connect-data/service-datasets-discover-across-workspaces

Power BI Service
• In the target workspace, click New > Power BI Report.
• Select the shared semantic model from the list of available datasets in your organization.
• Build and save your report directly in this workspace

Please see if this is helpful.

thanks

Hi Anonymous ,

To access semantic model across workspaces, tenant setting needs to be enabled. Please refer the link here. You need to certify/endorse these dataset, so users org can discover this one. Else you can give build permission on these datasets.

https://learn.microsoft.com/en-us/power-bi/connect-data/service-datasets-admin-across-workspaces

https://learn.microsoft.com/en-us/power-bi/connect-data/service-datasets-across-workspaces

Then you can utilize semantic link lab library as provided by Michael Kowalski. It shows existing Power BI dataset can be converted to a power query template file using these scripts. And uploading these pqt file into ms fabric via dataflow gen 2 moves the data to Fabric Lakehouse followed by steps to convert into direct lake semantic model. Please check the below link for detailed steps.

https://github.com/microsoft/semantic-link-labs

https://www.youtube.com/watch?v=4yaUDHAi-WY

If this post helps, please accept this as a solution. Appreciate your kudos.

Thanks,

Pallavi