Skip the learning curve: rethinking data migration for real outcomes
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Data migrations are high-risk, expensive, and often delay business value until the very end. A new approach is emerging that combines migration, modernization, and value creation simultaneously rather than sequentially. Key strategies include using specialized partners with repeatable AI-assisted tooling, progressive decommissioning of legacy systems to reduce parallel-run costs, and treating migration as an opportunity to retire tech debt rather than just relocating it. Databricks promotes its Migrate & Modernize partner program as a way to connect organizations with experienced partners who can accelerate time-to-value and reduce migration costs.
