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

Exporting and analyzing performance data

Earlier in this chapter, we came across a few limitations regarding the information that Performance Analyzer provides. A great way to dive deeper into these logs is to import and parse them in Power BI itself so that you can analyze the data. In this section, you will get some guidance on how to import and transform the logs and use the additional information they provide.

The Power BI Performance Analyzer log is a JSON file with the following properties:

  • All user actions and events generated by visuals are at the top level of the JSON document, contained in an events element.
  • Some events contain a metrics element, which can have multiple properties such as query duration, query text, and visual metadata, such as ID and type.
  • Events have an id and a parentid, both of which can be used to define a parent-child hierarchy of events, allowing you to visualize the tree.

The following screenshot shows the first few entries...