You're reading from Microsoft Power BI Performance Best Practices Learn practical techniques for building high-speed Power BI solutions

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835082256

Length 346 pages

Edition 2nd Edition

Languages

DAX

Tools

Azure

Concepts

Business Intelligence

Authors (2):

Thomas LeBlanc

Bhavik Merchant

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Architecture, Bottlenecks, and Performance Targets FREE CHAPTER

2. Chapter 1: Setting Targets and Identifying Problem Areas

3. Chapter 2: Exploring Power BI Architecture and Configuration

4. Chapter 3: Learning the Tools for Performance Tuning

5. Part 2: Performance Analysis, Improvement, and Management

6. Chapter 4: Analyzing Logs and Metrics

7. Chapter 5: Optimization for Storage Modes

8. Chapter 6: Third-Party Utilities

9. Chapter 7: Performance Governance 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 Semantic Models

14. Chapter 10: Dimensional Modeling and Row Level Security

15. Chapter 11: Improving DAX

16. Chapter 12: High Scale Patterns

17. Part 5: Optimizing Capacities in Power BI Enterprises

18. Chapter 13: Working with Capacities

19. Chapter 14: Performance Needs for Fabric Artifacts

20. Chapter 15: Embedding in Web Apps

21. Index

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General DirectQuery guidance

There are a few settings that can be adjusted in Power BI to speed up DirectQuery semantic models. We will explore these next.

Power BI Desktop settings

In the Power BI Desktop options, there is a section called DirectQuery under the CURRENT FILE main menu. This option is only available if the semantic model has a DirectQuery connection. It will not appear otherwise. Figure 5.7 shows a highlighted option for the setting that controls how many connections per data source can be made in parallel. The default is 10. This means, no matter how many visuals are in a report or how many users are accessing the report in parallel, only 10 connections at a time will be made.

If the data source can handle more parallelism, it is recommended to increase this value before publishing the semantic model to the Power BI service. However, with very busy data sources, you may find the overall performance can improve by reducing the value instead. This is because...