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Performance Boost repetitive Measures
I have a data model that consists Dim_Item, a Dim_FAC_Storage and a fact table called ItemLedger. These tables are well-structured. One special feature in the Itemtable is that each article has 9 le...
Hi showy ,
When working with a large-scale Power BI data model including a fact table with ~20 million records and ~1 million unique items managing dynamic pricing levels (Level10 to Level90) using separate measures can significantly degrade performance and maintainability. To improve performance and simplify your model, it’s essential to consolidate logic, minimize measure duplication, and reduce computational overhead during visuals rendering.
1. Normalize Pricing Levels in Power Query
2. Create a Disconnected Slicer Table for Price Levels
3. Write a Single Dynamic Measure
Hope this helps.
Warm regards,
Chaithra E.
Looking into this, shall come back shortly
Best