Power BI Development Services can improve performance by optimizing the data model. This includes reducing relationships between tables, eliminating unnecessary columns, and using measures instead of calculated columns. Choosing the correct storage mode—Import or DirectQuery—based on the data size and refresh needs is crucial. Additionally, minimizing the use of complex DAX queries and leveraging aggregation tables for large datasets helps reduce processing times. Performance Analyzer, a built-in
Power BI Development Services tool, can be used to monitor and address performance bottlenecks.
