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

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803246246

Length 698 pages

Edition 2nd Edition

Languages

DAX

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Soheil Bakhshi

View More author details

Table of Contents (22) Chapters

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

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: