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

Data modeling for DirectQuery

Data modeling can be thought of very simply as determining which data attributes are grouped into tables, and how those tables connect to one another. Building a DirectQuery data model in Power BI allows you to load table schema metadata and relationships from the data source. If desired, you can also define your own relationships and calculations across any compatible tables and columns.

Calculations in a DirectQuery model are translated to external queries that the data source must handle. You can check the external query that is being generated in the Power Query Editor by right-clicking on the query step and then choosing View Native Query, as shown in the following figure:

Figure 3.1 – The View Native Query option in Query Settings

You can check the native query to see how Power BI is translating your calculation to the data source's native query language to assess if it might have performance implications....