Use Power BI Semantic Models for Your Golden Datasets to Make Your Job Easier
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In this tutorial, Nick from Pragmatic Works walks you through how to enhance your Power BI reports by editing a live connection to a semantic model without losing any existing data. This guide is particularly useful if you want to add new data sources or make adjustments to your reports without disrupting the underlying model.
A semantic model in Power BI is often considered the single source of truth, containing all the essential data and relationships that your reports rely on. When you connect to a semantic model using a live connection, you can’t make changes to the model, such as adding new calculated columns or modifying relationships. However, there are ways to extend this functionality without compromising the integrity of your existing data.
Nick starts by connecting to a semantic model hosted in the cloud:
To add more data sources or make changes, you need to convert the live connection to a direct query:
With the model now in direct query mode, you can add new data sources to your report:
Now that the connection has been converted to direct query, you can add calculated columns and measures directly to the model:
Once you’ve made your changes, you can publish the report to the Power BI Service:
If you encounter issues converting your semantic model to direct query, ensure that your Power BI settings allow for this functionality:
By following these steps, you can extend the capabilities of your Power BI reports, combining the power of your existing semantic model with new data sources and custom calculations. This approach allows for a seamless blend of live and imported data, making your reports more dynamic and informative.
Don't forget to check out the Pragmatic Works' on-demand learning platform for more insightful content and training sessions on Power BI and other Microsoft applications. Be sure to subscribe to the Pragmatic Works YouTube channel to stay up-to-date on the latest tips and tricks.
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