11 February 2017

Data Management: Data Mapping (Definitions)

"The process of identifying correspondence between source data elements and target data elements when migrating data." (Microsoft Corporation, "Microsoft SQL Server 7.0 Data Warehouse Training Kit", 2000)

"The process of noting the relationship of a data element to something or somebody." (Sharon Allen & Evan Terry, "Beginning Relational Data Modeling" 2nd Ed., 2005)

"(1) The process of associating one data element, field, or idea with another data element, field, or idea. (2) In source-to-target mapping, the process of determining (and the resulting documentation of) where the data in a source data store will be moved to another (target) data store." (Danette McGilvray, "Executing Data Quality Projects", 2008)

"The assignment of source data entities and attributes to target data entities and attributes, and the resolution of disparate data." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"Data mapping is the process of creating data element mappings between two distinct data models. This activity is considered to be part of data integration." (Piethein Strengholt, "Data Management at Scale", 2020)

"The process defining a link between two disparate data models. It is often the first step towards data integration." (MuleSoft)

"The process of assigning a source data element to a target data element." (Information Management)

"Data mapping is the process of creating data element mappings between two different data models and is used as a first step for a wide array of data integration tasks, including data transformation between a data source and a destination." (Solutions Review)

"Data mapping is the process of defining a link between two disparate data models in the aim of future data integration." (kloudless)

"Data mapping is the process of mapping source data fields to destination related target fields." (Adobe)

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Koeln, NRW, Germany
IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.