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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

Dealing with inactive relationships

In real-world scenarios, the data models can get very busy, especially when we are creating a data model to support enterprise BI; there are many instances where we have an inactive relationship in our data model. In many cases, there are two reasons that a relationship is inactive, as follows:

  • The table with an inactive relationship is reachable via multiple filter paths.
  • There are multiple direct relationships between two tables.

In both preceding cases, the xVelocity engine does not allow us to activate an inactive relationship to avoid ambiguity across the model.

Reachability via multiple filter paths

A multiple filter path between two tables means that the two tables are related and can be reached via other related tables. Therefore, the filter propagates from one table to another via multiple hops (relationships). The following diagram shows a data model with an inactive relationship:

Figure 9.14...

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