Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers. Get Fabric certified for FREE! Learn more
Question:
I would like to improve reusability in the data models, specifically DAX measures, columns, and tables. How can I reuse the semantic model across reports? I know there are a couple of options. Can I be recommended possible solutions currently being used?
I have come across the following possible options: Azure Analysis Services, Lakehouse/Warehouse in Fabric, and Golden Dataset in Power BI Service. The first two are too expensive, and the Shared Dataset seems like it will become too cluttered and difficult to manage, slowing down the reports.
Solved! Go to Solution.
Hi @akhaliq7 -For most scenarios, Golden Datasets in Power BI Service offer a balanced approach, providing reusability, governance, and cost-effectiveness.Dataflows add an extra layer of flexibility for data preparation, making them a great complement to Golden Datasets.Composite Models offer advanced reusability when working with complex datasets, though they require careful management to avoid performance issues.
By implementing a combination of these strategies, you can achieve a high level of reusability while managing the complexity and cost of your Power BI environment.
Introduction to dataflows and self-service data prep - Power BI | Microsoft Learn
Power BI semantic model experience in Excel - Power BI | Microsoft Learn
Hope the above information helps.
Proud to be a Super User! | |
Hi @akhaliq7 -For most scenarios, Golden Datasets in Power BI Service offer a balanced approach, providing reusability, governance, and cost-effectiveness.Dataflows add an extra layer of flexibility for data preparation, making them a great complement to Golden Datasets.Composite Models offer advanced reusability when working with complex datasets, though they require careful management to avoid performance issues.
By implementing a combination of these strategies, you can achieve a high level of reusability while managing the complexity and cost of your Power BI environment.
Introduction to dataflows and self-service data prep - Power BI | Microsoft Learn
Power BI semantic model experience in Excel - Power BI | Microsoft Learn
Hope the above information helps.
Proud to be a Super User! | |
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
100 | |
65 | |
44 | |
36 | |
36 |