Data mapping is the process of mapping data fields in one dataset to corresponding data fields in another dataset. This is often done when integrating data from different sources to ensure that the data is integrated correctly and that no data is lost or misinterpreted.
The process of data mapping usually begins with identifying the data fields in both datasets and determining the corresponding data fields. This can be done by looking at the name of the data fields, the data types, the meaning of the data and the context in which the data is used.
Once identified, the matching data fields are linked together and a “mapping” is created. This can be done using an automated tool or manually through a mapping document describing the relationship between the data fields.
Data mapping is an important process in integrating data from different sources and plays a crucial role in obtaining accurate and reliable data for analysis and reporting.
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