Data 360

Configure Semantic Data Models

A user gets a working semantic data model on Data 360 objects, with relationships, calculated fields, metrics and often a dashboard on top, ready for analytics or a demo.

35 tasks
Method

How MeshMesh does it

  1. Creates sample or demo data and the related org setup.
  2. Builds the semantic model: relationships, calculated fields and metrics.
  3. Defines metrics on the model. When the metric endpoint rejected a patch call, it switched to a put call.
  4. Fixes broken relationships by adding explicit join criteria through put requests, then checks that every relationship has its criteria filled in.
  5. Extends the model for new visuals, such as adding billing latitude and longitude dimensions for a map, while keeping existing measures, then triggers a data stream refresh.
  6. Creates visualizations and a dashboard in Tableau Next through the REST APIs. The sample that shows this is paused, and its outcome records nothing built.
Products

Products and features it works with

Bars show how many of this capability's tasks touched each product.