Challenges of Handling Large Datasets in Power BI: Common Issues and Solutions When working with large datasets in Power BI, there are several challenges you might encounter that can affect performance, loading times, memory usage, and overall report responsiveness. Some common problems and how to address them: 1. Slow Performance Problem : Large datasets can slow down data loading, report rendering, and query execution, leading to poor user experience. Solutions : Use Aggregations : Pre-aggregate data at higher levels (e.g., monthly instead of daily) to reduce the dataset size. Optimize DAX Queries : Simplify complex DAX calculations or use more efficient functions to minimize query time. Filter Data : Use row-level filters or import only necessary columns to reduce the volume of data being processed. 2. Memory Consumption Problem : Power BI uses in-memory processing, which means large datasets can consume significant amounts of memory (RAM), potentially leading to out-of-memory...