Using a separate data model for Power BI reports is a recommended best practice, especially when dealing with large datasets or complex data transformations. This approach allows for better performance, scalability, and maintainability of Power BI solutions.
It is not just for use cases where you have a large number of reports with their own data models, but also for any scenario where you want to separate the data model from the report. Even if you only have one report currently, having a separate data model can provide benefits in terms of future scalability and flexibility.
Having a separate data model allows you to reuse the same data model across multiple reports, which can save time and effort in development and maintenance. It also allows you to make changes to the data model without affecting the reports themselves.
In summary, using a separate data model for Power BI reports is a recommended best practice for any scenario, but especially for larger datasets or complex data transformations.
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