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In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination
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A Data Mapper is a Data Access Layer that performs bidirectional transfer of data between a persistent data store (often a relational database) and an in-memory data representation (the domain layer). The goal of the pattern is to keep the in-memory representation and the persistent data store independent of each other and the data mapper itself.
Data mapping, data element mappings between two distinct data models; Digital mapping, the use of a computer to depict spatial data on a map; Gene mapping, the assignment of DNA fragments to chromosomes; Mind mapping, the drawing of ideas and the relations among them; Projection mapping, the projection of videos on the surface of objects with ...
Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language.
The semantic mapper will successively translate the data elements from the source namespace to the destination namespace. The mapping does not necessarily need to be a one-to-one mapping. Some data elements may map to several data elements in the destination. Some semantic mappers are static in that they will do a one-time data transforms.
GeoJSON map data cannot be directly uploaded and stored in the File namespace. While map data should usually be stored on Commons (see mw:Help:Map data), until August 2018 only CC0 licences were not allowed. Because of this former restriction, this process was set up so that data with licences compatible with Wikipedia's CC-BY-SA-3.0 licencing ...
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...