How to assess data quality in table recipes

As you work on your table recipe, you can assess your data using built-in data quality tools. These tools offer a similar experience to those available when exploring datasets and data products.

Features

• Quality bars and semantic types available for each column in the Single Table view. Data quality is computed automatically upon opening the table recipe.

  [link]

• Ability to change semantic types of columns from the Single Table

  [link]

• Ability to filter on valid, invalid, empty, and null values in the Single Table view.

  [link]

• Ability to take direct action on data quality issues by processing invalid data within the Editor.

  [link]

Permissions and access

Your access to data quality in table recipe depends on:

• Your subscription

• Your permissions in the tenant

Subscription requirements

Permissions

To access data quality in table recipe, you need the Data quality permission set to Allowed. This permission is assigned by a tenant administrator via the user default permissions or a custom role. For more information, see Permissions in User Default and custom roles.