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)
1
Part 1: Architecture, Bottlenecks, and Performance Targets
5
Part 2: Performance Analysis, Improvement, and Management
10
Part 3: Fetching, Transforming, and Visualizing Data
13
Part 4: Data Models, Calculations, and Large Datasets
17
Part 5: Optimizing Premium and Embedded Capacities

Summary

In this chapter, we concluded our Power BI optimization journey by learning how to embed content efficiently. We learned that reserved capacities that are sold under the Premium and Embedded product lines allow developers to embed content in external applications. This allows them to build their own user experience that's been enhanced by analytical content from Power BI. When they do this, they avoid using the Power BI user interface, and users access reports through the custom application. We learned that it is important to plan for and optimize Embedded capacities and the content they host per all the guidance provided earlier in this book.

Then, we learned that embedding involves communication between Power BI Service and the custom application via APIs. The Embedded SDK allows developers to authenticate against Power BI, load the Power BI base application code, and then place reports, dashboards, or tiles inside the custom application. This adds some overhead,...