Data models
You can define a Data model local to a process, rule, or custom service.
A local data model is useful for one-off integrations when you do not have to reuse the data model. However, if you intend to reuse the data model later, you can promote it to a global model.
You can also create a local data model using a sample JSON file. On adding a JSON file, the JSON format is parsed, and a tree structure is created. The field names in the data model match that of the JSON, and the field types are implied from the JSON sample. Any ambiguous field types are set to string You can edit the data model by changing field types or deleting the fields that you do not want. You can create a data model for simple JSON strings, with strings having nested objects multiple objects, and with an array of data,
How to: