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          Relationships in Tableau Semantics

          Relationships in Tableau Semantics

          A relationship connects different tables based on common fields. Establish relationships between your data objects to enrich your data model without the need to define a join type. Using a relationship to combine objects makes data preparation and analysis easier and more intuitive. It’s recommended you use relationships to combine your data before trying out other options.

          Required Editions

          Available in: Lightning Experience
          Important
          Important Relationships that already exist between your calculated fields within Data 360 are automatically imported into your semantic model. However, relationships that could cause conflicts aren’t imported, so you have to re-establish the relationship. The key qualifier is also imported directly from Data 360, but you need to add it manually to the imported relationships.

          You can see all of your relationships in the Semantic Model Builder on the main Semantic Model page. A black line shows the relationship between two data objects.

          Relationships in Semantic Model Builder
          • Create a Relationship Between Data 360 Objects
            You can create a relationship between any two Data 360 objects in a semantic model.
          • Edit or Delete a Relationship
            You can edit or delete a relationship in your semantic model.
          • Create a Relationship with Suggest Relationships
            You can use Artificial Intelligence (AI) to get relationship suggestions and create relationships in Tableau Semantics. Suggestions are based on semantic objects and sample data added to your model.
          • Cardinality in Tableau Semantics
            Define how objects in your Semantic Layer relate to each other to ensure accurate results and faster queries. By setting cardinality, you tell Tableau Semantics how records from one object connect to records in another, helping the system optimize joins, reduce duplicate data, and improve the reliability of your metrics.
           
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