Book Image

Microsoft Power BI Cookbook - Second Edition

By : Greg Deckler, Brett Powell
Book Image

Microsoft Power BI Cookbook - Second Edition

By: Greg Deckler, Brett Powell

Overview of this book

The complete everyday reference guide to Power BI, written by an internationally recognized Power BI expert duo, is back with a new and updated edition. Packed with revised practical recipes, Microsoft Power BI Cookbook, Second Edition, helps you navigate Power BI tools and advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. With the help of the recipes in this book, you’ll gain advanced design and development insight, practical tips, and guidance on enhancing existing Power BI projects. The updated recipes will equip you with everything you need to know to implement evergreen frameworks that will stay relevant as Power BI updates. You’ll familiarize yourself with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. By the end of this book, you’ll make the most of Power BI’s functional programming languages of DAX and M and deliver powerful solutions to common business intelligence challenges.
Table of Contents (16 chapters)
14
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15
Index

Enhancing Data Model Scalability and Usability

The performance of all Power BI reports is impacted by the design of the data model. The DAX queries executed upon accessing a report and when dynamically updating report visuals in interactive, self-service user sessions all rely on the relationships defined in the model and optimizations applied to the model's tables. For in-memory models, the cardinality of the columns imported and the compression of these columns contribute to the size of the dataset and query duration. For DirectQuery data models, the referential integrity of the source tables and the optimization of the relational source largely drive query performance.

This recipe includes three optimization processes, all focused on a Reseller Sales fact table with 11.7 million rows. The first example leverages the DMVs and Power BI memory report created in Chapter 10, Administering and Monitoring Power BI, to identify and address the most expensive columns. The second...