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Datametica simplified data migration to BigQuery for a global client that struggled with MS SQL data‑warehouse complexity and escalating costs. The project involved a thorough assessment of the existing environment, then designing a cloud‑native architecture. Datametica’s ingestion framework enabled one‑time historical migration from SQL Server to BigQuery. Automated code conversion using Raven and cell‑level validation via Pelican ensured accuracy and efficiency. After migrating, the client enjoyed faster processing, reduced operational complexity, lower costs and on‑demand scalability. This case shows how modernizing to BigQuery unlocks superior performance and analytics agility.