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

Power BI Helper

Power BI Helper has a range of features that help you explore, document, and compare local Power BI Desktop files. It also lets you explore and export metadata from the Power BI service, such as lists of workspaces and datasets and their properties. Power BI Helper can be downloaded from the following link:

In previous chapters, we discussed how important it is to keep Power BI datasets smaller by removing unused tables and columns. Power BI Helper includes features to help you do this, so it could be a useful tool to incorporate into standard optimization processes before production releases.

Identifying large columns in the dataset

In general, having a smaller model speeds up report loads and data refresh, which is why it is good to be able to identify the largest items easily. For now, we simply want to introduce this capability so you are aware of this technique. We will learn about dataset size reduction in detail in Chapter...