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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

OLS implementation

Let’s look at OLS implementation with a common scenario. The business wants to make the customers’ data visible only to the marketing team and the customers themselves. Therefore, no one who is not working in the marketing team must see the Customer table. The business also decided to secure all measures related to the OrderQuantity column from the Internet Sales table from the marketing team and the customers.

We will use the Chapter 11, OLS.pbix sample file provided with the book. The sample file is accessible here: https://github.com/PacktPublishing/Expert-Data-Modeling-with-Power-BI-Second-Edition/blob/main/Samples/Chapter%2011/Chapter%2011%2C%20OLS.pbix.

In the preceding scenario, we need to have two security groups available. One security group contains all the users except the marketing team members and the customers, and the other is for all the users. The following steps show how to implement the scenario:

  1. In Power BI Desktop...
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