Data Discovery jobs

  • Release version: Washingtondc
  • Updated February 1, 2024
  • 1 minute to read

    • 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.
    Note:
    Up to 10,000 records are scanned per table per pattern.

    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.
    Note:
    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