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Power BI development services query optimization begins with simplifying complex calculations by breaking them into manageable components. Use measures over calculated columns to reduce dataset load, and avoid filters within DAX if possible. Use variables to store intermediate values ​​and reduce redundant calculations. Pre-aggregate data to shift heavy computations to the source system. Always test DAX formulas on sample data to ensure they perform well at scale. Utilize built-in DAX functions that are optimized for Power BI, and avoid using non-deterministic functions that can lead to performance issues.

Using optimized built-in DAX functions in Power BI can significantly improve performance, while avoiding non-deterministic functions helps keep things smooth. It's like practicing in Geometry Dash : the more you refine your strategy, the better your performance in the real "game."
Thanks for the great tip! Let me know if you need any help with DAX formulas!