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Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Convert raw data into business insights with updated techniques, use cases, and best practices

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835464274
Length 598 pages
Edition 3rd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Toc

Table of Contents (16) Chapters Close

Preface 1. Installing and Licensing Power BI Tools FREE CHAPTER 2. Accessing, Retrieving, and Transforming Data 3. Building a Power BI Semantic Model 4. Authoring Power BI Reports 5. Working in the Power BI Service 6. Getting Serious About Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Enhancing and Optimizing Existing Power BI Solutions 11. Deploying and Distributing Power BI Content 12. Integrating Power BI with Other Applications 13. Working with Premium and Microsoft Fabric 14. Other Books You May Enjoy
15. Index

Improving DAX Measure Performance

Just as specific columns and relationships can be optimized for performance per the prior recipe, frequently used DAX measures can also be targeted for performance improvements. Existing DAX measures may contain inefficient data access methods that generate additional, unnecessary queries or that largely execute in a single CPU thread. Revising measures to better leverage the multi-threaded storage engine and to avoid or reduce unnecessary queries and iterations can deliver significant performance improvements without invasive, structural modifications to the model.

In this recipe, DAX queries executed by Power BI visuals are captured and analyzed using the Performance analyzer feature of Power BI Desktop. These queries are then further analyzed within DAX Studio.

Getting ready

To prepare for this recipe, follow these steps:

  1. Download and install DAX Studio: https://daxstudio.org/downloads/.
  2. Download and open the file Improving...
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