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Скачать или смотреть Power BI Version Control using GIT and Azure DevOps by taik18

  • taik18 - Mohammed Adnan
  • 2023-09-23
  • 23005
Power BI Version Control using GIT and Azure DevOps by taik18
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Power BI Version Control using GIT and Azure DevOps by taik18

Power BI Version Control using GIT and Azure DevOps involves leveraging these tools to manage and track changes to Power BI projects, including reports, datasets, and dashboards. Here's a description of the process:

Setup Azure DevOps Project:
Create a new project in Azure DevOps or use an existing one.
Define repositories for storing Power BI files. You can have separate repositories for reports, datasets, and other related artifacts.

Connect Power BI to GIT:
Work on Power BI projects locally on your machine using Power BI Desktop.
Save changes to your local GIT repository using GIT commands or through a GIT client.
Commit changes with meaningful messages describing the updates.
Push changes to the remote repository on Azure DevOps.

Collaboration and Branching:
Utilize branching strategies like feature branches for collaborative development.
Each developer works on their feature branch, makes changes, commits them, and then merges them back to the main branch (e.g., master or main) through pull requests.

Continuous Integration
Set up CI pipelines in Azure DevOps to automatically build and validate Power BI files whenever changes are pushed to the repository.
CI pipelines can perform tasks like checking for errors, running tests, and generating artifacts.

Continuous Deployment
Optionally, set up CD pipelines in Azure DevOps to deploy Power BI files to different environments (e.g., development, staging, production) after successful CI builds.
Deployments can be triggered automatically or manually, depending on the workflow and requirements.

Version History and Auditing:
Track changes to Power BI files over time using GIT version history.
Azure DevOps provides features for auditing changes, viewing commit history, and tracking work items related to Power BI development.

Integration with Power BI Service:
Publish Power BI reports to the Power BI Service from Power BI Desktop.
Users can access published reports directly from the Power BI Service, while development and version control occur in Power BI Desktop and Azure DevOps.

Governance and Permissions:
Define permissions and access controls within Azure DevOps to manage who can view, edit, and merge changes to Power BI files.
Ensure proper governance and compliance with organizational policies and regulations.

Documentation and Training:
Document version control processes and workflows for Power BI development using GIT and Azure DevOps.
Provide training to team members on using version control effectively for Power BI projects.
By implementing Power BI Version Control using GIT and Azure DevOps, teams can collaborate more efficiently, track changes effectively, ensure code quality through CI/CD pipelines, and maintain a reliable and auditable development process for Power BI projects.


#fabric, #alm #powerbi ,#taik18
source Microsoft

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