Data mappings define how data elements from one data source correspond to data elements in another. They are crucial for data integration, data warehousing, and data migration, ensuring data consistency and accuracy when moving or combining data from different systems. They specify transformations, aggregations, or other modifications needed to align data schemas and values. Common uses include ETL processes, API integrations, and application data synchronization.
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Use Sumble to: