Discussions with clients regarding the performance of their data models in Power BI have been a frequent occurrence for me recently. The issues often involve failed refreshes, queries that run slowly, or models that do not meet the clients’ expectations. In most cases, I begin by asking a standard set of questions before diving into the optimization process.
In this blog post, I will delve into the characteristics of each scenario, typical findings, and where to start optimizing. I will also share my experiences and highlight potential pitfalls from the viewpoints of data engineering, Power BI developers, and product owners. Furthermore, I will explore the Power BI features that can be utilized to enhance performance. These tips and tricks can benefit both Premium and Power BI Pro users with their datasets.
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Performance optimization, also known as performance tuning, involves making changes to the current state of the data model so that it runs more efficiently.
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