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Lesson 3: Model Data in Power BI
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Question
Question and Answers
Revisit
Start date
October 19, 2025
Status
Done
Performance optimization, also known as performance tuning, involves making changes to the current state of the semantic model so that it runs more efficiently. Essentially, when your semantic model is optimized, it performs better.
Learning objectives
By the end of this module, you learn how to:
- Review the performance of measures, relationships, and visuals.
- Use variables to improve performance and troubleshooting.
- Improve performance by reducing cardinality levels.
- Optimize DirectQuery models with table level storage.
- Create and manage aggregations.
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1.0 Introduction to Performance Optimization
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2.0 Describe Semantic Model Optimization Techniques
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3.0 Review Performance of Measures, Relationships, and Visuals
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4.0 Use Variables to improve Performance and Troubleshooting
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5.0 Reduce Cardinality
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6.0 Optimize DirectQuery models with table level storage
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7.0 Create and Manage Aggregations
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