Semantic Models in Tableau Next

You can create semantic models from scratch, or you can build them off of an existing semantic model. Either way, once you have a semantic model, you can customize it to suit your specific needs. For example, you can rename fields, override relationship definitions, or even create your own metrics.

Semantic models also include a query generator, which allows you to leverage your data to answer key business questions. The query generator sends customizable semantic queries based on your semantic models, so you can get the insights you need quickly and easily.

When you create a semantic model, relationships that were mapped between data model objects (DMOs) in Data 360 are included. This includes relationships that were previously created between objects outside the Semantic Model Builder. Relationships that create circular relationships (relationships that reference the same object multiple times) are removed.

There are two ways to add semantic models in Tableau Next. You can either create a new semantic model, or select a semantic model based on an existing asset.

You can also create semantic models directly in Data 360. For more information, see Create a Semantic Model in Tableau Semantics.

You can also use the Tableau Semantics connector for Tableau Desktop and Cloud to connect and use semantic models in Data 360 just like you can in Tableau Next. For more information, see Salesforce Help: Tableau Semantics Connector.

• Add Semantic Models
  Within Tableau Next, create a new semantic model from an existing asset.
• Generate a Semantic Model with Data Pro (Beta)
  Use Data Pro to build ready-to-use semantic models faster. Describe your business goals in natural language, and Data Pro identifies relevant data objects from your workspace, generates necessary relationships and business logic, and creates your model's structure and calculated fields. You can then skip manual mapping to review and refine a completed model in minutes.
• Accelerate Semantic Model Creation with Marketplace Templates
  When developing semantic models to unify and make sense of your enterprise data, you can build a model entirely from scratch or use a pre-configured template. Tableau Next Marketplace semantic model templates are designed to accelerate your development process.
• 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.
• Create a Calculated Field with Einstein
  You can use Einstein to easily and effectively create calculated fields within Tableau Next.
• Create Calculated Fields with Data Pro
  Data Pro helps you create and refine calculated fields by chatting in natural language. It’s available through the Analytics and Visualization template in Agentforce. This template uses the prebuilt Data Pro: Semantic Model Curation topic.