What Is Data Mapping?
Data mapping is the process of matching fields from one data source to another to ensure consistency and accuracy when data is integrated, transferred, or transformed. It is a critical step in ETL processes, as it defines how data elements from a source system correspond to elements in a target system. Effective data mapping enables seamless data migration, integration of disparate systems, and alignment of data formats. This process often requires tools and methodologies to handle complex mappings, detect errors, and maintain data integrity, thereby supporting the smooth functioning of data-driven applications and analytics.