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Expert Data Modeling with Power BI - Second Edition

You're reading from  Expert Data Modeling with Power BI - Second Edition

Product type Book
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Pages 698 pages
Edition 2nd Edition
Languages
Author (1):
Soheil Bakhshi Soheil Bakhshi
Profile icon Soheil Bakhshi

Table of Contents (22) Chapters

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI 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

RLS in composite models with DirectQuery to Power BI datasets

Now that we have a better understanding of how composite models work with a DirectQuery connection to Power BI datasets, SSAS tabular, or AAS models, it is time to take this another step further and discuss more technical scenarios that include RLS. We’ll use the AdventureWorksDW2019 database for this scenario.

The business has an Internet Sales dataset published to the Power BI service. The following image shows the Internet Sales data model:

Graphical user interface, application  Description automatically generated

Figure 14.13: Internet Sales data model

Note the one-to-many relationship between the DimSalesTerritory and DimEmployee tables. The developer created a dynamic RLS so each salesperson can see only their relevant territory’s sales values. To ensure the DimEmployee table always shows the data that is relevant to the report users, we have to use the following DAX expression to create a rule on the DimEmployee table:

[EmailAddress] = USERPRINCIPALNAME...
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