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In DSS, the Flow is the visual representation of how data, recipes, and models work together to move data through an analytical pipeline. The Flow in DSS has an awareness of the relationships and dependencies between datasets in your project. For example, if you make changes to a dataset or recipe, you may choose to dynamically rebuild dependent items upstream or downstream in your Flow to reflect the update.
To enhance interpretability, you can select parts of the Flow and add tags. Tags can be based on attributes such as creator, purpose, and status.
When there are too many objects on the screen, you can select which parts of the Flow to view based on their tags. You can also hide parts of the flow to decrease the overall number of objects that appear on the screen.