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

Parameterizing Power BI Solutions

With the foundation of a Power BI deployment in place, components of the data retrieval and report design processes—as well as the user experience—can be parameterized to deliver greater flexibility for both technology services and users. For example, query parameters can isolate and restrict data sources to support changing source systems, templates can enable parameterized report development against pre-defined metadata, and M and DAX functions can deliver custom integration and analytical capabilities.

The recipes in this chapter cover both standard parameterization features and techniques in Power BI, as well as more advanced custom implementations. Examples of parameterizing data sources, queries, user-defined functions, and reports further express the power of the M language and its integration with other Power BI Desktop features. Additional examples, such as URL-based parameter filters, a dedicated forecasting or what-if...