Implement the dataset optimization and visualization settings that would allow you to incorporate large geographic datasets into Power BI without affecting performance. Here are some useful techniques:
Simplify the Data
Load only the minimum necessary amounts of geographic fields: names of countries or cities, etc. Refrain from including overly detailed or redundant information in the dataset. Aggregate data to a higher geographic level whenever possible (countries instead of cities) in order to minimize the number of data points processed.
Enable Data Reduction Features
Use clustering and binning features available in Power BI to group nearby data points. The grouped data becomes information and provides good insights while still keeping it relevant to the analysis. Also, you can make use of the "Top N" available feature to provide the most pertinent rather than all of the data points in line with your analysis requirements.
Optimizing the Map Visuals
For instance, a filled map or simple bubble map should replace more complex map layers. Keep visuals to a minimum on a page and avoid combining them with complex mixed-map views. In fact, deactivating on-tooltips and labels enables better performance.
These are strategies whereby large data sets are well visualized and don't tax rendering capability per se in Power BI, thus leading to swifter and much more efficient report performance.
