Which Power BI Desktop feature allows you to combine data from multiple datasets?

The ability to relate data is the feature in Power BI Desktop that allows users to combine data from multiple datasets effectively. Relating data involves creating relationships between tables, which enables Power BI to understand how the data from different sources connects to one another. This relational model is crucial for performing complex analyses across multiple datasets, allowing users to create comprehensive reports that draw insights from varied data sources.

When relationships are established, Power BI can automatically propagate filters between the related tables, enabling users to analyze the combined datasets seamlessly. This is particularly useful when dealing with data imports from disparate sources, such as sales data and customer information, where linking the datasets through common fields (like Customer ID) provides a holistic view of business metrics.

In contrast, data modeling refers to the overall structure and design of the datasets, including their relationships and how they interact, but it does not specifically address the action of combining data. Visualizations are used for presenting data and insights but do not contribute to data combining mechanisms. Custom calculations allow users to create new metrics or calculations based on existing data but rely on established relationships to function properly, and they do not directly facilitate the integration of datasets.