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Microsoft Power BI Performance Best Practices

You're reading from   Microsoft Power BI Performance Best Practices A comprehensive guide to building consistently fast Power BI solutions

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801076449
Length 312 pages
Edition 1st Edition
Languages
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Author (1):
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Bhavik Merchant Bhavik Merchant
Author Profile Icon Bhavik Merchant
Bhavik Merchant
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Architecture, Bottlenecks, and Performance Targets
2. Chapter 1: Setting Targets and Identifying Problem Areas FREE CHAPTER 3. Chapter 2: Exploring Power BI Architecture and Configuration 4. Chapter 3: DirectQuery Optimization 5. Part 2: Performance Analysis, Improvement, and Management
6. Chapter 4: Analyzing Logs and Metrics 7. Chapter 5: Desktop Performance Analyzer 8. Chapter 6: Third-Party Utilities 9. Chapter 7: Governing with a Performance Framework 10. Part 3: Fetching, Transforming, and Visualizing Data
11. Chapter 8: Loading, Transforming, and Refreshing Data 12. Chapter 9: Report and Dashboard Design 13. Part 4: Data Models, Calculations, and Large Datasets
14. Chapter 10: Data Modeling and Row-Level Security 15. Chapter 11: Improving DAX 16. Chapter 12: High-Scale Patterns 17. Part 5: Optimizing Premium and Embedded Capacities
18. Chapter 13: Optimizing Premium and Embedded Capacities 19. Chapter 14: Embedding in Applications 20. Other Books You May Enjoy

Avoiding pitfalls with row-level security (RLS)

RLS is a core feature of Power BI. It is the mechanism that's used to prevent users from seeing certain data in the dataset. It works by limiting the rows that a user can access in tables by applying DAX filter expressions.

There are two approaches to configuring RLS in Power BI. The simplest RLS configuration involves creating a role in the dataset, then adding members, which can be individual users or security groups. Then, DAX table filter expressions are added to the role to limit which rows members can see. A more advanced approach, sometimes referred to as dynamic RLS, is where you create security tables in the dataset that contain user and permission information. The latter is often used when permissions can change often, and it allows the security tables to be maintained automatically, without the Power BI dataset needing to be changed. We assume you are familiar with both approaches.

Performance issues can arise when...

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