Problems
What will AGI do for Schema Normalization?
Data engineering teams and B2B onboarding specialists constantly ingest third-party data that rarely matches their internal database structures. When absorbing customer CSVs, vendor API payloads, or partner feeds, they must manually map hundreds of disparate fields into a canonical schema. Every new data source introduces variations in naming conventions, nesting hierarchies, and data types for the exact same entities.