Forum Discussion
Sharing semantic model to other workspaces
We have a semantic model residing in our production workspace. We are not yet on Fabric but will be very soon. We'd like to share the semantic model with a group outside of our team and workspace so that they can build dashboards against the semantic model and publish their dashboards to their workspace. Currently the other group does not have admin access to our workspace, and we don't have access to theirs but we would like to just have one version of the semantic model so that when we change it and publish it, the changes are reflected so that the other group can see the changes. I have read that it's possible to share with other people, but not sure how to share it with a totally different workspace. Do the other group need to create an AD group and then I share the semantic model with that AD group?
Using a group may be easier to manage access on your semantic model. You would then grant the group Read and Build permissions on the model. You do not need to grant them access to your workspace.
Using an Azure AD security group is a best practice. It simplifies access management and scales better than individual permissions.
Once you're on Microsoft Fabric, the sharing model becomes even more flexible, Semantic models can be created and edited directly in the web or Power BI Desktop using TMDL and they can be reused across Fabric workloads (notebooks, pipelines) via Semantic Link
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Using a group may be easier to manage access on your semantic model. You would then grant the group Read and Build permissions on the model. You do not need to grant them access to your workspace.
thanks
How do you use Pro licenses, and are you sharing workspaces or apps?
Using an Azure AD security group is a best practice. It simplifies access management and scales better than individual permissions.
Once you're on Microsoft Fabric, the sharing model becomes even more flexible, Semantic models can be created and edited directly in the web or Power BI Desktop using TMDL and they can be reused across Fabric workloads (notebooks, pipelines) via Semantic Link
thanks.
