Summary
In this chapter, we learned about the advanced data modeling features of Power BI.
We learned how we can protect sensitive data in our data model by using sensitivity labels, and how sensitivity labels integrate with a holistic data protection suite across Microsoft products and services. We learned that sensitivity labels can be configured to follow the data even when it is exported from Power BI into other data stores, such as Microsoft Excel.
We also learned how row-level security can be implemented and used. We learned that row-level security can be used to tailor the data in a report to the specific users or groups of users who are consuming the reports, so we don't need to make costly data model changes.
Lastly, we learned about Q&A and how it can be used to dynamically create report and dashboard visuals from natural-language queries written by report designers or report users. We learned that Q&A can be used to help users explore data made available...
