Profiling 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. Assign tags to a profile or columns in a profile in the Analyst tool.
- Comment
- Description about the profile. Use comments to share information about profiles with other Analyst and Developer tool users. Add comments to a profile or columns in a profile in the Analyst tool.
- 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.