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.

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 ...

Learn how to create a dashboard in Power BI using this guide to help organizations make better, more informed and faster decisions.

You can create a data model using data transformation and cleaning tools. It also lets you use data visualization tools and generate charts and graphs to understand and analyze data visually.