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Microsoft Power BI Performance Best Practices

You're reading from   Microsoft Power BI Performance Best Practices A comprehensive guide to building consistently fast Power BI solutions

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801076449
Length 312 pages
Edition 1st Edition
Languages
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Author (1):
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Bhavik Merchant Bhavik Merchant
Author Profile Icon Bhavik Merchant
Bhavik Merchant
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Architecture, Bottlenecks, and Performance Targets
2. Chapter 1: Setting Targets and Identifying Problem Areas FREE CHAPTER 3. Chapter 2: Exploring Power BI Architecture and Configuration 4. Chapter 3: DirectQuery Optimization 5. Part 2: Performance Analysis, Improvement, and Management
6. Chapter 4: Analyzing Logs and Metrics 7. Chapter 5: Desktop Performance Analyzer 8. Chapter 6: Third-Party Utilities 9. Chapter 7: Governing with a Performance Framework 10. Part 3: Fetching, Transforming, and Visualizing Data
11. Chapter 8: Loading, Transforming, and Refreshing Data 12. Chapter 9: Report and Dashboard Design 13. Part 4: Data Models, Calculations, and Large Datasets
14. Chapter 10: Data Modeling and Row-Level Security 15. Chapter 11: Improving DAX 16. Chapter 12: High-Scale Patterns 17. Part 5: Optimizing Premium and Embedded Capacities
18. Chapter 13: Optimizing Premium and Embedded Capacities 19. Chapter 14: Embedding in Applications 20. Other Books You May Enjoy

Summary

In this chapter, we introduced Performance Analyzer as a built-in tool to help you assess performance for every report user action, on a per-visual basis. It breaks visual processing into query, visual, and other components to help you focus on your performance tuning efforts. It also provides durations and other metrics to help you assess behavior. It lets you copy DAX and DQ queries for analysis in other tools. You can also export the whole performance log file for analysis.

We learned about the types of user actions that the analyzer captures and what metrics it provides in the user interface. We also pointed out some scenarios that can make it difficult to distinguish actions.

Next, we covered some good practices for performance testing in Power BI Desktop, such as using blank report pages, ensuring consistency in tests, and trying to replicate production scenarios as closely as possible. We learned that even if we optimized performance a lot in Desktop, it may not...

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