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
Other Book You May Enjoy
15
Index

Designing Column Level Security

While not as common as row-level security (RLS), there are times when you may wish to hide particular columns in a data model from one group of report viewers, but not others. Power BI Desktop does not natively support column security. However, a carefully designed data model can achieve column level security using Power BI's native RLS functionality.

It should be noted that Microsoft has recently released object-level security (OLS) for securing tables and columns in Power BI Premium and Pro. This method of securing objects currently requires third-party tools, such as Tabular Editor. In addition, this method has the advantage of securing even the metadata about the objects such that report viewers without access will not even know that the tables and columns exist in the model. However, there are disadvantages to OLS as well; namely, by completely hiding the tables and columns in the model, it becomes difficult to create measures and report...