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

Chapter 7: Governing with a Performance Framework

We began this book by introducing performance management and how to set reasonable targets, borrowing from user interface research. We identified that areas of Power BI can affect report and dataset refresh performance, then we walked through architectural concepts and optimization choices. Chapters 4, 5, and 6 focused on sources of information and tools that can help us monitor report and query performance.

The metrics and tools in earlier chapters are essential building blocks for performance management. However, success is more likely with a structured and repeatable approach to build performance-related thinking into the entire Power BI solution life cycle. This chapter provides guidelines to set up data-driven processes to avoid sudden scaling issues with new content and prevent the degradation of existing content.

You could consider performance management as having two distinct phases. The first involves monitoring and...