Schema Modernization
Done Right
AI-powered schema conversion, mapping, and validation
Legacy database schemas were built for on-premises systems. When migrated to cloud platforms without redesign, they carry forward structural inefficiencies that limit performance, increase compute costs, and create remediation work after migration has already run. Manual conversion at enterprise scale is slow, error-prone, and difficult to govern consistently across multiple source systems and target platforms.
This brochure shows how NuSummit’s Architect automates schema modernization, from DDL analysis and target-native conversion through source-to-target mapping, compatibility analysis, and governed architect review, with AI handling the conversion volume and architects controlling every validation decision.
With the Architect, you can:
- Reduce manual schema conversion effort by 70% through AI-led DDL transformation and automated platform optimization rule application.
- Identify incompatible object definitions, data type issues, and construct-level problems 80% faster than manual analysis allows.
- Reach deployment-ready target schema designs 3x faster from initial assessment through architect-approved output.
- Eliminate post-migration schema rework through compatibility analysis and impact mapping completed before any data moves.
- Maintain consistent modernization decisions across migration waves using reusable rule libraries that standardize conversion choices at scale.
Download the brochure to see how the Architect can help your organization modernize legacy schemas with speed, accuracy, and governance built into every step of the process.
