An asset in a data quality project is a reusable object that defines part or all of a data quality operation. You can configure data quality assets in Data Quality and in Data Integration and add the assets to data quality transformations in a mapping.
The following table describes the data quality assets that you can create:
Asset Name
Description
Cleanse
A cleanse asset is a set of one or more data transformation steps that can standardize the form and content of your data.
Deduplicate
A deduplicate asset measures the level of similarity between records in a data set and optionally consolidates similar records into a single, preferred record.
Labeler
A labeler asset derives information about the content and structure of data. You can configure a labeler asset to analyze tokens, or delimited values, in an input field, or the individual characters in an input field.
Parse
A parse asset defines a set of operations that can identify discrete values in an input field and write the values to appropriate output fields. Use a parse asset to improve the structure of your data.
Rule specification
A rule specification asset represents the data requirements of a business rule in logical form.
Verifier
A verifier asset evaluates the accuracy and deliverability of address records. Use a verifier to determine the accuracy of input addresses, fix errors in addresses, and enhance addresses where possible with additional information.
You add a data quality asset to the corresponding data quality transformation when you configure a mapping in Data Integration. When you run a mapping with a data quality transformation, the transformation applies the logic that you define in the asset to the input fields that that the transformation specifies. The data quality asset doesn't identify or connect directly to source data.
You can also create dictionaries that other data quality assets can use. A dictionary is a table of reference data that a mapping can read to evaluate the accuracy or usefulness of source data.
Create a data quality asset in the following ways:
•Create the asset from the transformation options when you configure a mapping.
•Create and save the asset in Data Quality and add it to a transformation at a later date.
•Create and save the asset in Data Integration and add it to a transformation at a later date.
The asset configuration options are identical in all cases.