This solution brief explains how organizations can improve AI and analytics outcomes by modernizing legacy Oracle and PostgreSQL environments into cloud-native data lakehouse platforms such as Snowflake and Databricks. The document warns against simple “lift-and-shift” migrations that carry legacy inefficiencies into modern architectures. Instead, it promotes a “model then move” strategy focused on schema optimization, governance, workload tuning, and real-time replication. The approach improves query performance, reduces cloud costs, strengthens governance, enables zero-downtime migration, and creates AI-ready environments optimized for analytics and machine learning workloads.

Join for free to read