Closed RaphaelKomander closed 6 years ago
Mapping example of the proprietary data model towards the current standard data model.
As seen on @ealtendorf her contribution, dot notation allows to explain nested data structured in a readable form - with columns left aligned.
Regarding nested objects, a data point mapping at a two-dimensional table isn't practical.
Rather document your application's data model as JSON format via doca's web interface - suited to present nested structures. @JosefBraeuer
JSON STRUCTURE (object.json)
"definition": { "datapoint": { "type": "string", "description" : "Important for the semantic data point mapping" "example" : "An entity would look like" } }, "required": ["datapoint"], "properties": { "datapoint": {"$ref": "#/defintions/datapoint"}, "NestedObject": {"$ref": "./source.json"}, "FetchedDefinition": {"$ref": "./source.json#/definitions/datapoint"}, "FetchedProperty": {"$ref": "./source.json#/propterties/datapoint"} }
In this example the source.json has a proper object defined. The "$ref:" attribute is a name space - link.
Mapping example of the proprietary data model towards the current standard data model.
Regarding nested objects, a data point mapping at a two-dimensional table isn't practical.
Rather document your application's data model as JSON format via doca's web interface - suited to present nested structures. @JosefBraeuer
JSON STRUCTURE (object.json)