How do Power BI developers optimize performance for large datasets?
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Optimizing performance with large datasets requires Power BI developers to implement best practices like using data models efficiently. They adopt star schema designs to minimize relationships and enhance query performance. Aggregating data at appropriate levels reduces processing time. Power BI developers also optimize DAX formulas, avoiding resource-intensive functions. Features like incremental refresh ensure efficient data updates. Additionally, using DirectQuery or composite models balances real-time analytics with performance needs. By leveraging Power BI’s optimization tools, such as Performance Analyzer, developers fine-tune their reports, ensuring scalability, speed, and a seamless user experience for large-scale projects.