- Use tools like Power BI Desktop Performance Analyzer and DAX Studio
- Understand the DAX formula engine
- Learn characteristics of different storage engines (VertiPaq, DirectQuery over SQL)
- Read DAX query plans
- Optimize common DAX constructs
- Solve security performance issues
- Improve DirectQuery response time
- Control the data placement in composite models to avoid bottlenecks
Prerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.
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