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{{Data transformation}}
{{Expert needed|
In [[computing]] and [[data management]], '''data mapping''' is the process of creating [[data element]] [[Map (mathematics)|mapping]]s between two distinct [[data model]]s. Data mapping is used as a first step for a wide variety of [[data integration]] tasks, including:<ref name="ShahbazData15">{{cite book |url=https://books.google.com/books?id=pRChCgAAQBAJ |title=Data Mapping for Data Warehouse Design |author=Shahbaz, Q. |publisher=Elsevier |pages=180 |year=2015 |isbn=9780128053355 |access-date=29 May 2018}}</ref>
* [[Data transformation]] or [[data mediation]] between a data source and a destination
* Identification of data relationships as part of [[data lineage]] analysis
* Discovery of hidden sensitive data such
* [[Data consolidation|Consolidation]] of multiple databases into a single database and identifying redundant columns of data for consolidation or elimination
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==Standards==
X12 standards are
The [[W3C]] introduced [https://www.w3.org/TR/r2rml/ R2RML] as a standard for mapping data in a [[
In the future, tools based on [[semantic web]] languages such as [[Resource Description Framework]] (RDF), the [[Web Ontology Language]] (OWL) and standardized [[metadata registry]] will make data mapping a more automatic process. This process will be accelerated if each application performed [[metadata publishing]]. Full automated data mapping is a very difficult problem (see [[semantic translation]]).▼
▲In the future, tools based on [[semantic web]] languages such as
==Hand-coded, graphical manual ==
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