Data discovery is the process of analyzing data values and data patterns to identify relationships. These disparate data elements are linked into logical units of information or ‘business objects’ such as customer, patient or invoice. A business object represents a group of related attributes (columns and tables) of data from one or more applications, databases or data sources. Discovery is also used to identify the transformation rules that have been applied to a source system when populating a target such as a data warehouse or an operational data store. Once accurately defined, these business objects and transformation rules provide the essential input into information-centric projects like data integration, MDM and archiving.
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