3.4 Data Quality Framework

Data Quality Framework consists of a scalable rule-based engine which uses a single-pass integration process to standardize, match, and duplicate information across global data.

Topics:

• Introduction to Data Quality Framework
• Roles and Functions for Managing DQ Framework
• Data Quality Rules
• Data Quality Groups
• Adding a DQ Check Task
• Execution Summary

• Introduction to Data Quality Framework
  Data Quality Framework consists of a scalable rule-based engine which uses a single-pass integration process to standardize, match, and duplicate information across global data.
• Roles and Functions for Managing DQ Framework
  The following roles and function are required to create, view and manage the Rules and Groups in DQ Framework.
• Data Quality Rules
  Data Quality Rules allows you to create a DQ (Data Quality) definition using data quality checks based on single column or multiple columns of a single base table. The defined Data Quality Rules can be logically grouped and executed together.
• Data Quality Groups
  Data Quality Groups facilitates you to logically group the defined DQ Definitions .
• Adding a DQ Check Task
  You can add a new DQ check Task in the Scheduler Services and add the task to a Batch Definition, for execution.
• Execution Summary
  The Execution Summary provides the consolidated list of executed DQ batches, for the last 30 days .
• Interrupting DQ Group Execution in a Batch
  You can interrupt an ongoing execution of a DQ group in a batch using the Interrupt option on the Scheduler Services Monitor screen.