description
| - 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.
- 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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