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

Scaling with Power BI Premium and Azure Analysis Services

Power BI users with Pro licenses can create workspaces in the Shared or Premium capacity. Shared capacity is available by default to any organization using Power BI. Shared capacity is managed entirely by Microsoft, which load balance multiple tenants over thousands of physical machines around the world. To provide a consistent and fair experience for everyone, there are certain limits in Shared capacity. One that affects data volumes is the 1 GB size limit of a compressed dataset. Power BI Desktop will allow you to create datasets that are only limited by the amount of memory on the computer, but you will not be allowed to upload a dataset that's larger than 1 GB to Shared capacity. Similarly, if a dataset hosted in Shared capacity grows to over 1 GB, it will result in refresh errors. Note that this limit refers to the compressed data size, so the actual source data can be many times larger.

Leveraging Power BI Premium...