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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Connecting data sources

The following diagram highlights the areas of the solution that are affected when data sources and connectivity methods do not perform well:

Figure 1.5 – Areas affected by data source and connectivity issues

Import mode

When using Import mode datasets, developers can experience sluggish user interface responsiveness when working with Power Query or M on the desktop. In extreme cases, this can extend data transformation development from hours to days. Once the solution is deployed, problems in this area can cause refresh times to time out or fail. The Power BI service has a refresh limit of 2 hours, while Premium and Fabric capacities can extend this to 5 hours. Any refresh hitting this limit will be canceled by the system.

DirectQuery mode

DirectQuery mode leaves the data at the source and needs to fetch data and process it for measures when users interact with a report page. Issues with this part of the configuration...