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.

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

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

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

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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 User Default 和自訂角色中的權限.