Creating a custom attributes definition based on free text - Cloud

Talend Cloud Data Inventory User Guide

Version
Cloud
Language
English
Product
Talend Cloud
Module
Talend Data Inventory
Content
Administration and Monitoring > Managing connections
Data Governance
Data Quality and Preparation > Enriching data
Data Quality and Preparation > Identifying data
Data Quality and Preparation > Managing datasets
Last publication date
2024-02-28
This type of custom attribute definition allows users to freely enter any value for the category, without being limited to a predefined list of values. In this example you are working on various datasets containing customer information, for marketing purposes. Each of these datasets usually contains information on clients from a specific geographical zone, such as APAC, EMEA, NORAM, etc. You want to make this information on the geographical zone available as metadata for the datasets. In order to do that, you will create a new category of custom attribute, based on text, so that users can freely add the geographical zone the datasets are focused on.

Procedure

  1. From the left panel of the homepage, open the Custom attributes view.
  2. Click the Add custom attribute button.
  3. In the Name field, enter Geographical zone.
  4. Optionally add a Description in the corresponding field.
  5. From the Type drop-down list, select Text.
    Users will be able to enter any value, and not just choose from a list.
  6. Leave the Mandatory toggle unselected.
    Making a new attribute mandatory means that its value cannot be left empty for a given dataset and you must enter a Default value in the dedicated field. This can be useful if you were to set up an attribute with a more sensitive status, such as a Security classification for example.
  7. Optionally add a Default value in the corresponding field.
  8. Click Validate.

Results

The new Geographical zone attribute based on free text input has been created, and can be found in the Overview of your datasets.
New custom attribute from the dataset overview.