Concepts and goals of Oracle data scrubbing Oracle Database Tips by Donald Burleson

This high-level overview of Oracle data cleansing was intended to show you the basic tools and techniques for the unification and scrubbing of database within your Oracle system.  The main points of Oracle data cleansing and data scrubbing include:

• There are two areas of Oracle data cleansing, the unification process where common formats and abbreviations are enforced and the scrubbing process, where complex decision rules are applied to identify and scrub data errors.
   
• Oracle data cleansing must become an integrated part of the system.  Oracle tools are hard-wired into the ETL software and most shops enforce internal data integrity with constraints that enforce data patterns.
   
• Oracle provides a wealth of powerful tools for data cleansing including regular expressions and the Oracle Warehouse Builder "data profiling" feature.
   
• Complex data cleansing requires a Decision Support System architecture, a framework to allow the identification of "suspicious" data and the formulation of intelligent "recommendations" about data resolution.
   
• Data cleansing requires the expert judgment of a Data Quality Officer, someone like a Medical Informaticist who has intimate understand of the data.  It is the DQO who provides the decision rules to the DBA, who, in turn, successively refines the Decision Support System for data cleansing.

The whole scope of Oracle data cleansing can be as simples or as complex as you desire, and the tools for data cleansing range from simple update statements to artificial intelligence.

For expert Oracle data cleansing support and data scrubbing consulting, use an expert from BC.  We understand the powerful Oracle data unification tools, and we can aid in improving the data quality of any Oracle database, large or small.