Data Profiling and Scrubbing
Projects that require bringing together data from multiple sources—for example, data warehouse, data mart, or operational data store (ODS) projects—are extremely common. You could spend months gathering business requirements, putting together technical specifications, designing target databases, and coding and testing your ETL process. You could spend an eternity in “ad hoc maintenance mode” rewriting large sections of code that don’t handle unanticipated bad or nonconforming data. This scenario is the result of a failure to properly plan and execute data intergration projects—a phenomenon known as code, load, and explode.
KeywordsPostal Code Data Viewer Fuzzy Grouping String Data Connection Manager
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