Data modeling is a critical aspect of working with Power BI, and understanding the differences between star and snowflake schemas is essential for creating efficient and effective data models.

Power BI’s interface is divided into key sections like Report View, Table View, Model View, Ribbon, and Panes, each serving specific purposes for data analysis and visualization.

Here is a complete guide to learning how to download and use the Power BI Desktop application to create data visuals and reports.

Power BI recommends that you use Auto when working with calendar time periods and when your modeling needs are simple. When exploring data or creating a quick prototype or ad hoc model, Auto ...

Understanding Power BI relationships and how to create them ensures your visuals filter and slice the way you expect. Learn more here.