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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

By : Greg Deckler, Powell
4.8 (12)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.8 (12)
By: Greg Deckler, 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)
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14
Other Book You May Enjoy
15
Index

Improving DAX Measure Performance

Just as specific columns and relationships can be optimized for performance per the prior recipe, frequently used DAX measures can also be targeted for performance improvements. Existing DAX measures may contain inefficient data access methods that generate additional, unnecessary queries or that largely execute in a single CPU thread. Revising measures to better leverage the multi-threaded storage engine and to avoid or reduce unnecessary queries and iterations can deliver significant performance improvements without invasive, structural modifications to the model.

In this recipe, DAX queries executed by Power BI visuals are captured and analyzed using the Performance Analyzer feature of Power BI Desktop. The first example highlights a common misuse of the FILTER function for basic measures. In the second example, two alternative approaches to implementing an OR filter condition across separate tables are described relative to a common but less...

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