Question

What strategies can I use to handle large datasets without slowing down my Power BI reports?

Because of performance issues, it can be quite challenging to work with large datasets while using Power BI. This leads to discussions about the challenges posed and the best practices that could be adopted to mitigate the impacts of those challenges, such as optimizing the data model (for instance, using alternative methods such as the star schema design), trimming the dataset by eliminating unnecessary columns or rows, consolidating information whenever possible, and employing Direct query or composite models for data access in real-time among other things, and using incremental data refresh in order to avoid unnecessary reloading of the whole dataset. In certain cases, these tactics lead to faster report execution performance and improved scalability.