How do I handle dependencies between Power BI reports in the deployment pipeline

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How do I handle dependencies between Power BI reports in the deployment pipeline?
Some reports in Power BI are dependent on shared datasets or referenced by other reports. How can I manage these interdependencies effectively within the deployment pipeline to ensure smooth transitions and avoid broken links or incomplete deployments?

1 day ago in Power BI by Evanjalin
• 30,060 points
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1 answer to this question.

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You must deploy related content together, keep workspace structures consistent, and use deployment rules to maintain connections in order to manage dependencies such as shared datasets, linked reports, or composite models.

The Best Ways to Handle Dependencies:

Together, deploy shared datasets and reports.

Dependent reports and their shared datasets should always be deployed in the same pipeline run and the proper sequence (report after dataset).

Make Use of Regular Workspace Configurations

To prevent broken references after deployment, keep the Dev, Test, and Prod workspace structures the same and use the same dataset names and IDs.

Apply the Deployment Rules

Set up dataset rules in the deployment pipeline so that reports in the target stage (such as Test/Prod) refer to the appropriate dataset.

Prior to deployment, monitor dependencies.

To see dependencies and make sure all relevant assets are deployed, use the Power BI lineage view.

Steer clear of hard-coded references.

Make sure reports use workspace-relative links rather than hard-coded workspace or dataset IDs to reference datasets.

Automate Post-Deployment Validation

Verify that all visuals load properly and that datasets are available after deployment using Power Automate or scripts. 

answered 1 day ago by anonymous
• 30,060 points

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