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

Democratizing Artificial Intelligence

Recent additions to Power BI's visualization library help democratize artificial intelligence by making machine learning intuitive and easy to use by end users. The Key influencers and Decomposition tree visualizations covered in this chapter, as well as other visuals like Smart narrative and Q&A, leverage machine learning algorithms to analyze visualization data in real time to bring artificial intelligence insights to the masses. Machine learning is the process of analyzing data based purely on mathematical algorithms in order to identify patterns, key metrics, clusters, anomalies, and key categorizations.

This recipe demonstrates how to configure and use the artificial intelligence capabilities of the Key influencers and Decomposition tree visualizations.

Getting ready

To prepare for this recipe, follow these steps:

  1. Open a Power BI Desktop file locally and access the Power Query Editor by clicking on Transform...