These Release Notes are for the initial release of Actian Data Profiler on the Actian Data Platform.

To create a data profile you need to define a data source, define a connection to the data source, create data quality rules, and define a target. The data quality rules are set to enforce specific conditions or values. When a rule applies to a specific field in a profile, the data in that field is evaluated against the condition or value within the rule. After processing is complete, each value from the source field is either valid or invalid. Valid data is written to the Pass target, while invalid data is written to the Fail target.

You can also test and adjust rules using a subset of your source data. This can be helpful when your source dataset is large and you want to shorten processing time.

Each time a profile executes, the Data Profiler creates a job. Profile execution results, such as Pass/Fail count and execution duration time, are in each job. Aggregated job results for profiles are shown in the Run History for all Profiles page. Job results for a single profile are shown in the Profile Details page.

You can also schedule a profile to execute at regular intervals. When a profile is scheduled to execute a configuration is automatically created for the profile. The configuration specifies when and where the profile executes. You then manage and edit the configuration associated with the profile, and monitor execution results in the Manage environment. You can also interact with trend graphs which trace job results over a selected period.