Configuring AIMatch Job

After associating metadata to business term catalogs, you can schedule an AIMatch job to find matches between the associated metadata and business terms. The job also scores the matches based on their relevancy.

To schedule AIMatch job, follow these steps:

  1. Go to Application Menu > Data Literacy > AIMatch.
  2. The AIMatch page appears. By default, the Configuration tab opens.

  3. Enter or select appropriate values in the fields. Refer to the following table for field descriptions.
  4. Field Name

    Description

    Job Name

    Specifies the job name.

    For example, Auto Match Business Term-Technical Metadata.

    This field autopopulates with a job name and cannot be edited.

    Schedule Job On

    Set the date and time of the job using and .

    For example, 03-24-2020 11:45.

    Local or Server

    Select whether the job uses local or server time.

    • Local: Refers to your local machine.
    • Server: Refers to the machine where your application is deployed.

    Last Executed Date Time

    Specifies the date and time when the job was run last.

    For example, 06-15-2020 09:13

    Next Scheduled Date Time

    Specifies the date and time when the job will run next.

    For example, 06-16-2020 09:13

    Interval

    Specifies the frequency of the job. You can run the AIMatch job daily, weekly, or monthly.

    AIMatch Threshold

    Adjust the AIMatch Threshold slider to select a percentage match range for AIMatch job.

    Send Email

    Switch Send Email on () to enable email notifications about the job.

    Email Id: It is autopopulated with your email ID.

    CC Email Id(s): Enter email IDs that should receive email notifications about the job. For example, talon.smith@mauris.edu.

  5. Click Update.

The job is scheduled and is executed at the scheduled date and time. The resultant matches for tables and columns are available on the Automated Table Matches and Automated Column Matches tabs.

You can select and associate tables and columns with business terms based on the match scores, and classify relevant data sensitive based on your requirements.