--- title: Data Discovery jobs description: Data Discovery reviews your targeted information using user-defined data patterns and target tables. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/platform-security/data-discovery/data-discovery-jobs.html release: australia product: Data Discovery classification: data-discovery topic_type: concept last_updated: "2026-03-12" reading_time_minutes: 1 breadcrumb: [Exploring Data Discovery \(Classic\), Data Discovery, Platform Privacy] --- # Data Discovery jobs Data Discovery reviews your targeted information using user-defined data patterns and target tables. Data Discovery works by first scheduling a job in the **Data Discovery Job** section. When a scheduled job runs, all active data patterns are searched for on the current target tables. For more information on creating and configuring a Data Discovery job, see [Configure a Data Discovery job](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-security/data-discovery/configure-data-discovery-jobs.md). **Note:** Sample Scan jobs scan up to 10,000 records are scanned per table per pattern. **Warning:** If a job is executed twice in a small amount of time, the number of scanned rows may return 0 for second run. ## Data Discovery data patterns The **Data Patterns** section shows all current data patterns, both active and inactive. A data pattern is a regular expression used to match sensitive data. For more information on how to access and configure data patterns, see [Configure Data Discovery patterns](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-security/data-discovery/configure-data-discovery-patterns.md). The **Active Data Patterns** section shows only active patterns. Inactive patterns don’t appear. ## Target tables The **Target Tables** section lists all tables that can be processed for a job. To access the target tables, select **Target Tables**. The following tables aren’t supported: - sr - sysx - v - sh$ - syslog - ua - usageanalytics - ecc - clone - jrobin - pa - sla\_repair\_log - scan - gcf - fm\_log - log - np$ - sn\_data\_discovery - dp\_configuration - dp\_federated\_job - dp\_field\_technique - dp\_job - dp\_job\_summary - dp\_primary\_reference - dp\_technique - data\_classification - m2m\_dictionary\_dataclass ## Granular Configuration The [Granular Configuration](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/platform-security/data-discovery/granular-configuration.md) tool enables more specific and fine tuned controls for discovering sensitive data in a table. However there are key differences in its operation compared to a traditional data discovery job. A granular configuration scans only specified columns of a table for discovery, reporting its findings by the record. Findings from the scan of Granular Configurations, called Granular Findings have their actions specified per record, and require the data\_privacy\_admin role to be anonymized.