In this example, you create a data model to determine the structure of the data to be managed in the Site deduplication campaign. This campaign enables data stewards to label near duplicates in a data sample extracted by a Talend Job.
Talend Data Stewardship has data model awareness which makes possible the syntactic and semantic validation of data. You can define the attributes in the data model and select their types out of a predefined standard or semantic types.
- In the home page, click .
Enter a name and a description for the new model.
In the Attributes section, define the columns you want
to have in the data model as the following:
- In the IDENTIFIER field, enter the technical identifier for the first column.
Enter a name and a description for the column in the corresponding
fields, if needed.
What you set in the NAME field is the name displayed in the task list. If no name is set, the technical identifier will be displayed.
From the attribute type list, select the type of the column.
- For standard types, additional fields are displayed or hidden according to the type you select. These fields are optional and they enable you to define some constraints on the attribute you define such as defining a minimum and/or maximum length or defining a pattern against which to validate the attribute.
- For semantic types, you can use the Talend Dictionary Service to manage the semantic types. However, the availability of this service depends on the license you have.
- Optionally, click the switch next to ALLOW EMPTY VALUES to disable the load of empty fields to Talend Data Stewardship. This option is enabled by default.
Click ADD ATTRIBUTE in
the left panel and repeat the above steps to create all the columns you need in
the data model.
The columns defined for the Site deduplication campaign used in this example hold information about childhood education centers in Chicago.