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Expert Data Modeling with Power BI, Second Edition

You're reading from   Expert Data Modeling with Power BI, Second Edition Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd Edition
Languages
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Author (1):
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Soheil Bakhshi Soheil Bakhshi
Author Profile Icon Soheil Bakhshi
Soheil Bakhshi
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Table of Contents (22) Chapters Close

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI FREE CHAPTER 3. Data Analysis eXpressions and Data Modeling 4. Section II: Data Preparation in Query Editor
5. Data Preparation in Power Query Editor 6. Getting Data from Various Sources 7. Common Data Preparation Steps 8. Star Schema Preparation in Power Query Editor 9. Data Preparation Common Best Practices 10. Section III: Data Modeling
11. Data Modeling Components 12. Star Schema and Data Modeling Common Best Practices 13. Section IV: Advanced Data Modeling
14. Advanced Data Modeling Techniques 15. Row-Level and Object-Level Security 16. Dealing with More Advanced Data Warehousing Concepts in Power BI 17. Introduction to Dataflows 18. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models 19. New Options, Features, and DAX Functions 20. Other Books You May Enjoy
21. Index

Avoiding bidirectional relationships

One of the most misunderstood and somehow misused Power BI features in data modeling is setting the Cross filter direction to Both. This is widely known as a bidirectional relationship. There is nothing wrong with setting a relationship to bidirectional if we know what we are doing and are conscious of its effects on the data model. We have seen Power BI developers who have many bidirectional relationships in their model and consequently end up with many issues, such as getting unexpected results in their DAX calculations or being unable to create a new relationship due to ambiguity.

The reason that overusing bidirectional relationships increases the risk of having an ambiguous model is filter propagation. In Chapter 8, Data Modeling Components, we covered the concept of filter propagation and bidirectional relationships. We looked at a scenario where the developer needed to have two slicers on a report page, one for the product category and...

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