InfoSphere Discovery provides innovative data exploration and analysis techniques to automatically discover relationships and mappings among the structured data in the enterprise, based not on metadata but on actual values in the data itself. This value-driven analysis means that InfoSphere Discovery can detect relationships between tables and columns whose names or metadata alone do not suggest any connection. It also enables InfoSphere Discovery to identify and generate highly complex transformations that you can use to describe the locations and formats of sensitive data, describe the relationships of data elements across applications, or output as SQL or extract, transform, and load (ETL) code for use in later data transformation. Although InfoSphere Discovery performs some phases of this mapping as automated processes, it also offers a broad set of powerful and flexible tools that analysts can use to manually review, develop, refine, and finally confirm a comprehensive set of data maps. These maps can then be used as blueprints in a wide variety of data integration projects such as tracking sensitive data in the enterprise, application migration, data relationship validation, data set rationalization, and legacy ETL to commercial ETL migration.