Data mapping is the process of defining how data elements in one system correspond to data elements in another system. It is a crucial step in data integration and migration, as it ensures that data is accurately and consistently translated from one system to another.

Data mapping involves the following steps:

Identify source and target systems: Determine the systems from which data will be extracted and the system to which data will be loaded.

Identify data elements: Determine the data elements that need to be mapped, such as customer names, addresses, and product codes.

Define mapping rules: Define the mapping rules that determine how data elements in the source system correspond to data elements in the target system. This might include simple one-to-one mappings or more complex transformations, such as converting data from one format to another.

Validate the mapping: Test the mapping rules to ensure that they work as intended and that the data is accurately translated from the source system to the target system.

Document the mapping: Document the mapping rules, so that they can be easily maintained and reused as needed.

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