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

Measuring Embedded performance

When you embed Power BI content in your applications, it is recommended that you measure the embedding activity to understand the performance profile. The methods we have described in this book can help you measure and resolve the performance of the Power BI artifacts themselves, but they do not tell you what is happening in your application and if there is any inefficiency when it is communicating with Power BI and loading content. For example, the Embedded Power BI report may execute queries and render visuals within 2 seconds, but the user experiences a longer total wait time due to the embedding overhead. Before we learn how to measure the embedding overhead, we will introduce a recommended practice.

Important Note

When you're performance tuning your Embedded content, it is very important to obtain a baseline of performance without embedding. This will help you set the appropriate range for the best case in performance, as well as help...