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Performance Considerations
As your datasets grow, Power Query transformations can start to slow down, but there are ways to make queries run faster and data refreshes smoother.
A fast Power Query setup means less waiting and more analyzing – which is what we actually want to spend our time doing.
Keep Only What You Need
The more data you load, the slower your queries become. Try to:
- Remove unnecessary columns early.
- Filter out rows you don't need before applying other steps.
- Avoid loading large intermediate tables that aren't used in visuals.
Minimize Complex Steps
Every transformation adds work for Power Query to process. Combine simple steps instead of stacking many small ones, and avoid transformations that recalculate the same data multiple times.
Fewer steps = faster queries
Watch Out for Data Type Changes
Changing data types repeatedly can slow things down. Set the correct types once, ideally right after loading your data.