PowerBI: From Frustration to Optimization
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 fa
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.
- My dataset refresh fails, why?
- The dataset became way bigger (in GB) than we expected, do we need to buy more premium capacity?
- Should we consider putting everything in directQuery, cause the Power BI data model became too big?
- Users are complaining about poor performance when they build a report. What can we do?
- … Probably you can think of a few more yourself.
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More links on about Microsoft 365
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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