The Race For Data Quality in a Medallion Architecture
DataKitchen
NOVEMBER 5, 2024
This stage involves validation, deduplication, and merging of data from different sources, ensuring that the data is in a more consistent and reliable format. For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables.
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