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Is there anyway to parametrize connections to AAS for tabular model using Live connection?
If I want to switch from an environment to another ? like DEV,TST to PROD ?
Solved! Go to Solution.
Hi @AmiraBedh - Power BI does not provide a direct out-of-the-box method for fully parameterizing live connection endpoints, but you can implement a workaround using parameters and connection swapping techniques as you mentioned dev, test, prod environments.
you can use Deployment Pipelines in Power BI Service allow you to move Power BI content from Dev to Test and then to Prod without needing to change the connection string manually each time.
When deploying to a different environment, you can specify which dataset connects to which Azure Analysis Services (AAS) environment. Each environment in the pipeline (Dev/Test/Prod) can be mapped to its own AAS instance.Set up deployment pipelines in Power BI Service >> Associate your datasets with the correct AAS environment in each stage.>> This way, when you move a report from Dev to Test to Prod, the connection string will switch automatically depending on the environment without requiring manual changes.
reference link:
Deployment Pipelines are the most seamless way to handle switching between environments automatically for live connections in Power BI.
Overview of Fabric deployment pipelines - Microsoft Fabric | Microsoft Learn
solved thread:
Solved: Parameterize query for Azure Analysis Services liv... - Microsoft Fabric Community
Hope the above information helps.
Proud to be a Super User! | |
Hi @AmiraBedh - Power BI does not provide a direct out-of-the-box method for fully parameterizing live connection endpoints, but you can implement a workaround using parameters and connection swapping techniques as you mentioned dev, test, prod environments.
you can use Deployment Pipelines in Power BI Service allow you to move Power BI content from Dev to Test and then to Prod without needing to change the connection string manually each time.
When deploying to a different environment, you can specify which dataset connects to which Azure Analysis Services (AAS) environment. Each environment in the pipeline (Dev/Test/Prod) can be mapped to its own AAS instance.Set up deployment pipelines in Power BI Service >> Associate your datasets with the correct AAS environment in each stage.>> This way, when you move a report from Dev to Test to Prod, the connection string will switch automatically depending on the environment without requiring manual changes.
reference link:
Deployment Pipelines are the most seamless way to handle switching between environments automatically for live connections in Power BI.
Overview of Fabric deployment pipelines - Microsoft Fabric | Microsoft Learn
solved thread:
Solved: Parameterize query for Azure Analysis Services liv... - Microsoft Fabric Community
Hope the above information helps.
Proud to be a Super User! | |
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