You can create a profile to view and analyze the content and structure of a source object.
1In Data Profiling, click New.
2In the New dialog box, click Data Profiling Task.
The Definition tab for the profile appears.
3On the Definition tab, enter the asset, source, and profile details. You can also choose columns and add a filter for the profile.
- You can add a cleanse, labeler, parse, or rule specification asset to view the impact of the corresponding data quality operations on the source data.
4On the Rules tab, add one or more Data Quality assets as rules to the profile.
5On the Schedules tab, optionally choose a runtime environment and schedule. You can also change the default email notification options and advanced options for the profile run as necessary.
6Choose one of the following options to save and run the profile:
- Click Save to save the profile.
- Click Run to save and run the profile.
- Save the profile and choose a schedule on the Schedules tab to run the profile.
Exception management task
An exception record is a record that contains unresolved data quality issues. You can use a rule specification to identify exception records in your data set as part of an exception management process.
You can create an exception task from the profiling task. When you can create a data profiling task, you can add one or more rule specifications as rules to the task. Configure the profiling task to read the data set that contains the exception records.
You can create an exception task in Data Profiling or in Data Quality. Add one or more rules from the profiling task to the exception task. Include the rule specification that you configured earlier to find and update exception records.
For more information, see the Exception Management guide in the Data Quality documentation.