Versioning Power BI datasets is important for tracking changes, ensuring consistency, and rolling back, if necessary. Suggestions for version control include imposing version-control naming and tracking copies in a predetermined workspace. When applying version control to datasets, simply add version numbers (i.e., v1.0, v1.1, etc.) to the names of the datasets you maintain. in additoton, Power BI Deployment Pipelines makes easy aspects of development, testing, and production deployment with versioning.





In the Power BI Course in Pune, participants are trained in using storage spaces like OneDrive or SharePoint, where they can maintain versions of the report connected with the dataset. The participants experience how these spaces create collaboration and a means of tracking code changes over time by developer.





As a part of the Power BI Training in Pune, professionals examine the current market of third-party tools, for example, Tabular Editor and Azure DevOps, to simplify version control. This allows for schema comparisons and even scripting for Enterprise-level governance.





In the context of the Power BI Classes in Pune, as part of the hand-on work session, the instructor walks participants through the implementation of versioning by leveraging Git-based workflows. By storing the reports (Power BI Desktop) assets as PBIX files in a Git repo, the participants get detailed version control (like branching and commit history).