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Hi Team,
I have a doubt!
I have my frontend with Figma developed for my Fabric Workload Development Kit.
Now I would like to integrate it with the Backend of Semantic Models developed, to pack it as a Fabric Workload.
How can I do that?
Any good solution and reference documents will be highly helpful.
Thanks in Advance!
Solved! Go to Solution.
Hello @Ashwath_Bala_S,
Thank you for reaching out to the Microsoft Fabric Community.
To integrate your Figma frontend with a Semantic Model backend for a Microsoft Fabric Workload, use the Fabric Workload Development Kit sample repository. Implement your Figma design in the Frontend folder with React/Fluent UI, connect to the Semantic Model in the Backend folder using Fabric or Power BI REST APIs with Entra ID authentication, and package both as a .nupkg for deployment to the Workload Hub via Azure Marketplace.
For your reference:
If this information is helpful, please “Accept as solution” and give a "kudos" to assist other community members in resolving similar issues more efficiently.
Thank you.
Hello @Ashwath_Bala_S,
Just checking in have you been able to resolve this issue? If so, it would be greatly appreciated if you could mark the most helpful reply accordingly. This helps other community members quickly find relevant solutions.
Please don’t forget to “Accept as Solution” and Give “Kudos” if the response was helpful.
Thank you.
Hello @Ashwath_Bala_S,
Thank you for reaching out to the Microsoft Fabric Community.
To integrate your Figma frontend with a Semantic Model backend for a Microsoft Fabric Workload, use the Fabric Workload Development Kit sample repository. Implement your Figma design in the Frontend folder with React/Fluent UI, connect to the Semantic Model in the Backend folder using Fabric or Power BI REST APIs with Entra ID authentication, and package both as a .nupkg for deployment to the Workload Hub via Azure Marketplace.
For your reference:
If this information is helpful, please “Accept as solution” and give a "kudos" to assist other community members in resolving similar issues more efficiently.
Thank you.
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