Profile Guide

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Profile Components

A profile has multiple components that you can use to effectively analyze the content and structure of data sources.

A profile has the following components:

Filter: Creates a subset of the original data source that meets specific criteria. You can then run a profile on the sample data.
Rule: Business logic that defines conditions applied to data when you run a profile. Add a rule to the profile to validate the data.
Tag: Metadata that defines an object in the Model repository based on business usage. Create tags to group objects according to their business usage.
Comment: Description about the profile. Use comments to share information about profiles with other Analyst and Developer tool users.
Scorecard: A graphical representation of valid values for a column or the output of a rule in profile results. Use scorecards to measure data quality progress.