How does Power BI manage relationships between tables?

Power BI manages relationships between tables primarily by defining connections for accurate analysis. This feature enables users to combine data from multiple tables within a data model, allowing for comprehensive data analysis and reporting. Establishing relationships between tables is essential because it enables Power BI to understand how data in one table correlates with data in another.

When relationships are correctly defined, Power BI can create meaningful visualizations and insights that are based on data from various sources. This ensures that users can run queries and create reports that accurately reflect the connections between different datasets, thereby enhancing the overall analytical capability of the tool.

Other choices do not align with the core functionality of Power BI. For instance, allowing direct data entry from users focuses more on data input rather than managing relationships. Complex algorithmic calculations typically pertain to data processing and analytics rather than how relationships are established between tables. Lastly, segregating data into isolated reports would hinder the relationship functionality, as it suggests a lack of interconnectedness between different datasets, contrary to what Power BI is designed to accomplish.