Book Image

Microsoft Power BI Performance Best Practices

By : Bhavik Merchant
Book Image

Microsoft Power BI Performance Best Practices

By: Bhavik Merchant

Overview of this book

This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture. Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implement at every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips, but also provides you with a hands-on approach to identifying and fixing common performance issues. Complete with explanations of essential concepts and practical examples, you’ll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You’ll grasp the general architectural issues and settings that broadly affect most solutions. As you progress, you’ll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You’ll focus on the data layer and then work your way up to report design. We will also cover Power BI Premium and load testing. By the end of this Power BI book, you’ll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.
Table of Contents (21 chapters)
Part 1: Architecture, Bottlenecks, and Performance Targets
Part 2: Performance Analysis, Improvement, and Management
Part 3: Fetching, Transforming, and Visualizing Data
Part 4: Data Models, Calculations, and Large Datasets
Part 5: Optimizing Premium and Embedded Capacities


Since report performance is such an important aspect of the user experience, we began by looking at Power BI's built-in workspace usage metrics, which are targeted at workspace administrators.

First, we learned how to launch the usage metrics report. We saw that it contains a report performance page where we were able to visualize report trends and break down report load duration by useful dimensions such as location, browser, or consumption method. We noted that the aggregate information it provides is a good starting point, but that more detail was required for a more complete analysis. To reach this detailed data, we learned how to copy and customize the built-in report, analyze raw data in Excel, and connect to the usage dataset from Power BI Desktop. All these methods allow you to access detail and create more useful custom views. To help with customization, we provided suggestions on how to use the tables in the metrics dataset effectively, including covering...