About the Job Details page

From the Job Details page, you can:

  • Access the data profile to analyze your data quality and historical trends.
  • Drill into monitors to inspect data quality scores and observations to ensure they are accurate and reliable.
  • View notification details, such as the recipients and what time they were sent.
  • View the job logs to troubleshoot any issues with the execution of a job.
  • View and manage who has access to a job.
  • Add custom rules to a job.
  • Re-run and edit a job.

The Job Details page also provides visibility into other key details. For example, in the About sidebar on the right side of the page, you'll find the data quality score and related assets.

The following screenshot and table highlight the various elements of the Job Details page.

screenshot of data quality job

Element number Element Description
Data Quality Job The name of the Data Quality Job and a breadcrumb of its origin, in data-source-name / schema-name / table-or-view-name format.
Data Quality Job tabs

Tabs include:
Runs history and run metadata

Depending on whether you are on the Profile, Monitors, or Logs tab, a chart or status captures important data points, such as whether a run was successful or not, the evolution of the data quality score, and how long a Data Quality Job took to run.

Tip Click previous job runs in the chart to see historical results.
Data table Depending on whether you are on the Profile, Monitors, or Logs tab, a table shows information pertaining to the data quality observations or logging events on a given Data Quality Job run.
About sidebar

A collapsible sidebar that shows you important attributes of a Data Quality Job. It offers a quick overview of a Data Quality Job:

  • Quality score: The data quality score of a Data Quality Job, aggregated over all historical runs.
  • Monitors: The number of passing monitors divided by the total number of active monitors.
  • Last run: The timestamp of the last run of a Data Quality Job. This uses a YYYY/MM/DD hh-mm [time zone] format.
  • Schedule: The days when a Data Quality Job is set to run automatically. When a Data Quality Job is not scheduled, a "Not scheduled" message is shown.
  • Processing: The method that the data quality capability uses to process jobs. For example, the Data Quality Pushdown Processing capability uses Pushdown processing, and is therefore shown as Pushdown in this section.
  • Data Quality Manager: The user or users with the Data Quality Manager responsibility for the job. You can manage responsibilities at the job-level from the Responsibilities tab or by connection from the Connection page.
  • Related assets: The schema assets related to a Data Quality Job.
Add rule, edit job, and run job

This button cluster allows you to take a number of job-level actions:

  • Add rule opens the rule workbench, where you can add custom SQL rules to your job.
  • Edit opens the edit data quality job stepper, where you can edit your job.
  • Run now queues a new job run, based on the existing specifications of your job.