We are excited to share a few key tips for optimizing DAX queries that significantly improved the efficiency of our Azure Analysis Services (AAS) Tabular Model project.
Our project involves various financial measures that calculate key metrics such as LTM Sales, LTM EBITDA, and Net Debt. Each of these measures incorporates logic for FX conversions and period filtering. While individual measures performed well, combining many measures in a single dashboard negatively impacted performance. After analyzing our DAX expressions, we identified two major factors affecting execution time. Below, we outline how we optimized performance in each case.
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