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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

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801076449

Length 312 pages

Edition 1st Edition

Languages

Python

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Bhavik Merchant

View More author details

Table of Contents (21) Chapters

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

Technical requirements

There is a combined sample file available for this chapter. All the sample references can be found in the Composite and Aggs.pbix file, in the Chapter12 folder in this book's GitHub repository: https://github.com/PacktPublishing/Microsoft-Power-BI-Performance-Best-Practices. Since this example uses DirectQuery to access a SQL server database, we have included the AdventureWorksLT2016.bak SQL backup. Please restore that database to a SQL server and update the connection in Power BI Desktop to run the sample successfully.

The rest of the chapter is locked

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Authors (1)

Bhavik Merchant

Bhavik Merchant

Bhavik Merchant has nearly 18 years of deep experience in Business Intelligence. He is currently the Director of Product Analytics at Salesforce. Prior to that, he was at Microsoft, first as a Cloud Solution Architect and then as a Product Manager in the Power BI Engineering team. At Power BI, he led the customer-facing insights program, being responsible for the strategy and technical framework to deliver system-wide usage and performance insights to customers. Before Microsoft, Bhavik spent years managing high-caliber consulting teams delivering enterprise-scale BI projects. He has provided extensive technical and theoretical BI training over the years, including expert Power BI performance training he developed for top Microsoft Partners globally.

See other products by Bhavik Merchant

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