Overview
With AIHouse AI Agent for Data Warehouse Modernization, customers get access to:
AI-Driven Discovery & Migration Assessment
Automatically analyzes schemas, stored procedures, SQL workloads, and dependencies to identify migration complexity, unsupported patterns, and modernization opportunities.
Automated Schema & SQL Conversion
Uses AI-assisted engines to convert schemas, queries, and procedures from legacy data warehouses into AWS-compatible formats while tracking exceptions and remediation needs.
Structured Proof of Concept & Validation
Deploys standardized test environments on Amazon Redshift to execute representative workloads, validate data accuracy, and benchmark performance before production migration.
Wave-Based Migration Orchestration
Coordinates migration activities across teams using structured task orchestration, dependency mapping, and governance checkpoints to ensure predictable and controlled execution.
Automated Data Migration & Workload Testing
Supports automated extraction, staging, and loading of data along with workload conversion, query testing, and reconciliation to verify data integrity and performance parity.
Human-in-the-Loop Modernization
AI agents automate discovery, conversion, and execution workflows while certified experts review results, address exceptions, and guide architectural decisions.
AI-Driven Data Platform Modernization
Modernization automation across multiple domains including:
Schema and SQL conversion Dependency and workload analysis Migration planning and wave sequencing Data validation and reconciliation Performance benchmarking and optimization Governance and migration risk tracking
Seamless Deployment on AWS
Delivered using AWS-native architecture and integrated with services such as Amazon Redshift, AWS SCT, and AWS DMS, enabling rapid modernization through AWS Marketplace and NuVista expertise.
Highlights
- Accelerate data warehouse modernization with AI-driven discovery and automated schema, SQL, and dependency analysis that reduces migration planning time from weeks to days.
- Deliver predictable migrations with automated conversion, validation, and benchmarking that ensures data accuracy, performance parity, and controlled cutover to Amazon Redshift and SageMaker Unified Studio.
- Build an AI-ready data platform on AWS by modernizing legacy warehouses while enabling analytics, machine learning, and generative AI workloads.