Home / The Architect
Legacy Database Schemas
Were Not Built for the Cloud
Enterprise data migration programs routinely stall at the schema layer. Legacy database designs were built for on-premise systems, and when migrated to cloud platforms without redesign, they retain structural inefficiencies and design constraints that limit performance and drive up compute costs.
NuSummit’s The Architect analyzes legacy DDL structures, data types, and platform constructs, then generates target-native schema designs for Databricks, Microsoft Fabric, Snowflake, BigQuery, and AWS, reducing manual conversion effort, surfacing compatibility issues before data moves, and keeping architects in control through a governed review-and-approval workflow.
What We Deliver
Schema and DDL Conversion
Transforms source DDL, schema structures, and database objects into cloud-ready definitions for the chosen target platform.
Data Type and Object Modernization
Optimizes data types, object definitions, and partitioning strategies so that schemas are redesigned for cloud performance rather than replicated from legacy systems.
Target-Aware Platform Optimization
Applies platform-specific best practices for Databricks, Microsoft Fabric, Snowflake, BigQuery, and AWS to improve schema performance, scalability, and maintainability.
Schema Mapping and Impact Analysis
Generates source-to-target mappings and documents conversion considerations, compatibility gaps, and downstream impacts before data migration begins.
Human-in-the-Loop Validation
Generated schemas can be reviewed, refined, and approved by enterprise architects before moving into deployment workflows.
Reusable
Modernization Rules
Supports rule libraries and modernization playbooks that standardize conversion decisions across multiple source systems and target platforms.
Architect Review Workflow
Structures the review process so that architecture teams focus on exceptions and approvals rather than repetitive manual conversion tasks.
Enterprise Ecosystem Integration
Supports cloud migration factories, governance workflows, and the broader NuSummit agent ecosystem for end-to-end data modernization.
The NuSummit Advantage
Modernization Beyond Conversion
The Architect redesigns schemas for cloud-native performance instead of carrying legacy structures into environments where they underperform.
Faster Migration
Readiness
Automated schema analysis, conversion, mapping, and optimization reduce the time from assessment to deployment-ready target design.
Lower Manual
Conversion Risk
AI-led conversion surfaces syntax errors, incompatible object definitions, and construct-level issues earlier in the migration lifecycle, before they become program delays.
Target-Platform
Coverage
Platform-aware rules generate schemas aligned with the optimization patterns of Databricks, Microsoft Fabric, Snowflake, BigQuery, AWS, and other modern data platforms.
Architect-Led Governance
Review-driven workflows keep enterprise architects in control of validation and approval. AI handles the conversion volume; architects make the decisions that require judgment.
Built for Financial Services and Enterprise Data Programs
Supports use cases across Banking, Capital Markets, Insurance, Asset Management, Manufacturing, and enterprise data warehouse modernization.
Scalable Agent Ecosystem
Works alongside other NuSummit modernization agents to support larger transformation programs across data, AI, cloud, and digital engineering.
Use Cases
Core Banking and Risk Data Modernization
Cloud-Ready Capital Markets Data Platforms
Insurance Claims, Policy, and Actuarial Platforms
Enterprise Data Warehouse Modernization
Cross-Platform Migration Factories
Migration Readiness Starts at the Schema Layer
Schema modernization is where migration programs slow down or stall. Legacy structures built for on-premises systems do not perform well in cloud environments, and manual conversion introduces errors, inconsistencies, and delays that compound across large programs.
The Architect addresses this by automating schema analysis, DDL conversion, target-platform optimization, and impact mapping, while keeping enterprise architects in control of every validation and approval decision. Migration readiness comes faster, with fewer conversion risks, and with governance built in from the start.
