What should you set up to establish logical hierarchies in Tableau's published data sources?

Establishing logical hierarchies in Tableau's published data sources primarily involves setting up field defaults. Field defaults allow you to define the default behavior of dimensions and measures, enabling users to navigate through the data more effectively by establishing a hierarchy that reflects the organizational or analytical view of the data. This means when users interact with the fields, they are presented with a clear structure, making it easier to drill down into detail or roll up to summaries.

Using field defaults to create hierarchies helps maintain consistency across the data source and ensures that any analyses or visualizations built using the data will operate under the same logical structure. By doing so, it enhances the usability of the data source for all users, allowing them to apply consistent filters and views across their analyses aligned with established business rules or analytical standards.

Other options like calculations, field descriptions, and field synonyms serve different purposes within Tableau. Calculations create new data based on existing fields, while field descriptions provide metadata that explains what a field represents, and field synonyms offer alternative names for fields to assist in searching or clarity. These elements do not directly contribute to structuring or managing hierarchies in the same way that field defaults do.