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Microsoft Power BI Performance Best Practices

You're reading from   Microsoft Power BI Performance Best Practices Learn practical techniques for building high-speed Power BI solutions

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835082256
Length 346 pages
Edition 2nd Edition
Languages
Tools
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Authors (2):
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Thomas LeBlanc Thomas LeBlanc
Author Profile Icon Thomas LeBlanc
Thomas LeBlanc
Bhavik Merchant Bhavik Merchant
Author Profile Icon Bhavik Merchant
Bhavik Merchant
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Architecture, Bottlenecks, and Performance Targets FREE CHAPTER
2. Chapter 1: Setting Targets and Identifying Problem Areas 3. Chapter 2: Exploring Power BI Architecture and Configuration 4. Chapter 3: Learning the Tools for Performance Tuning 5. Part 2: Performance Analysis, Improvement, and Management
6. Chapter 4: Analyzing Logs and Metrics 7. Chapter 5: Optimization for Storage Modes 8. Chapter 6: Third-Party Utilities 9. Chapter 7: Performance Governance 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 Semantic Models
14. Chapter 10: Dimensional Modeling and Row Level Security 15. Chapter 11: Improving DAX 16. Chapter 12: High Scale Patterns 17. Part 5: Optimizing Capacities in Power BI Enterprises
18. Chapter 13: Working with Capacities 19. Chapter 14: Performance Needs for Fabric Artifacts 20. Chapter 15: Embedding in Web Apps 21. Index 22. Other Books You May Enjoy

Understanding DAX pitfalls and optimizations

Before we dive into specific DAX improvements, we will briefly review the following suggested process to tune your DAX formulas, as shown earlier.

Tuning DAX

In Chapter 3, Learning the Tools for Performance Tuning, and Chapter 6, Third-Party Utilities, we provided detailed information and examples of how to use various tools to measure performance. We’ll take this opportunity to remind you of which tools can help with DAX tuning and how they can be used. A recommended method to tune DAX is as follows:

  1. Review DAX expressions in the semantic model. Ideally, use the Best Practice Analyzer (BPA) to identify potential improvements. The BPA does cover some of the guidance provided in the next section, but it’s a good idea to check all the rules manually.
  2. Rank the suggestion in terms of estimated effort, from lowest to highest. Consider moving some calculations or even intermediate results to Power Query. This is...
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