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Is your schema migration still a success if downstream systems misinterpret the data? Relying on schema-only mapping often creates a “semantic gap” where the data arrives intact, but the governing business context is stripped away. This mismatch results in months of manual fixes for broken reports and skewed post-migration analytics.

Data Lifter closes this gap by parsing legacy ETL packages and stored procedures to map lineage and extract hidden transformation logic, providing the automated profiling needed to ensure the new stack delivers the exact same business outcomes as the old one.