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

DAX Studio and VertiPaq Analyzer

DAX Studio, as the name implies, is a tool centered around DAX queries. It provides a simple yet intuitive interface with powerful features to browse and query Analysis Services datasets. We will cover querying later in this section. For now, let's look deeper into datasets.

The Analysis Services engine has supported Dynamic Management Views (DMVs) for many years. These views refer to SQL-like queries that can be executed on Analysis Services to return information about dataset objects and operations.

VertiPaq Analyzer is a utility that uses publicly documented DMVs to display essential information about which structures exist inside the dataset and how much space they occupy. It started life as a standalone utility, published as a Power Pivot for an Excel workbook, and still exists in that form today. In this chapter, we will refer to its more recent incarnation as a built-in feature of DAX Studio.

It is interesting to note that VertiPaq...