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  • Data abstraction that provides a unified and trusted view of data originating from a variety of sources. Typically, this applies to both internal and external data sources. In all cases, data transformation and semantic cleansing are critical challenges that always impact the quality and utility of the final product, i.e., Reference Data that serves the trust and quality needs Data Science, Analytics, and Informatics practitioners within the enterprise.
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