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Microsoft Power BI Performance Best Practices

Microsoft Power BI Performance Best Practices

By : Bhavik Merchant
4.5 (6)
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Microsoft Power BI Performance Best Practices

Microsoft Power BI Performance Best Practices

4.5 (6)
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)
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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

Understanding data connectivity and storage modes

Choosing a data connectivity and storage mode is usually the first major decision that must be made when setting up a brand-new solution in Power BI. This means choosing between Import and DirectQuery, which we introduced in the previous chapter. Within Power BI Desktop, you need to make this decision as soon as you connect to a data source and before you can see a preview of the data to begin modeling.

Important Note

Not every data connector in Power BI supports DirectQuery mode. Some only offer Import mode. You should be aware of this because it means you may need to use other techniques to maintain data freshness when a dataset combines different data sources.

Figure 2.1 shows a SQL Server data source connection offering both Import and DirectQuery modes:

Figure 2.1 – Data connectivity options for a SQL Server source

Excel workbooks can only be configured as Import mode. Figure 2.2 demonstrates...

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