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

Why subscribe?

22. Other Books You May Enjoy

Optimization for Storage Modes

With the proliferation of data lakes, more options are available for performance improvements with DirectQuery and Direct Lake. Synapse has brought Massively Parallel Processing (MPP) from big data to analytical databases. DirectQuery can use the column store indexes in Synapse or other cloud database systems. The use of aggregations with DirectQuery external data sources has become a common choice for large fact tables. There are optimizations that can be done in both Power BI and external sources to avoid hitting limits too quickly.

In the previous chapter, we looked at ways to get performance and usage information from the Power BI service through reports and logs. Through the usage metrics report and some template apps, Microsoft provides tools for analyzing performance data. For Power BI reports, we often need to know whether visuals, queries, or combinations thereof are slow. Page view granularity isn’t available from the Power BI service...