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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 2. Accessing, Retrieving, and Transforming Data FREE CHAPTER 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

Supporting Virtual Table Relationships

Virtual table relationships are DAX expressions implemented to filter one table from another when a relationship does not exist between the two. Report visualizations can then be constructed using both tables (and those related to it), and the DAX measures will update as though a normal relationship is defined. Virtual relationships are often used to address disparate grains of tables and to leverage performance segmentation tables.

Although physical relationships are the preferred long-term solution for both performance and manageability, virtual relationships provide an attractive alternative when physical relationships are not feasible. In this recipe, we provide virtual relationship examples that use both a custom performance segmentation table and an aggregated table.

Getting ready

To prepare for this recipe, follow these steps:

  1. Open Power BI Desktop.
  2. Create an Import mode data source query called AdventureWorksDW2022...
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