AI-augmented data engineering
Novaala combines deep data engineering expertise with AI-augmented delivery to modernize legacy pipelines, migrate to modern platforms, and build the governed data foundation that agentic AI, RAG, and analytics depend on.
The Modernization Canvas
The Modernization Canvas is the framework Novaala uses to assess, plan, and execute enterprise data platform modernization - reducing guesswork and giving stakeholders a shared view of scope, sequencing, and risk before migration begins. The Canvas is delivered in three phases across eight working days, with a migration path and a greenfield path depending on where the client is starting from.
What you get: a full inventory of the data estate, live object counts, dependencies, and metadata — or a clean greenfield input map for teams starting fresh.
What you get: a complexity-scored, architecture-grounded plan with effort estimates thorough enough for a director to sign off on.
What you get: working code, synthetic data for validation, and a Canvas the client's own team owns and runs going forward.
Data engineering accelerators
The Canvas is powered by a library of seven reusable, AI-augmented accelerators.
Automated migration path onto Microsoft Fabric.
Reconstructs the existing estate, schemas, and dependencies.
Generates target data models and DDL for the new architecture.
Bulk-converts legacy ETL and SQL code to the target platform.
Builds a governed metadata and lineage layer across the estate.
Produces synthetic samples for safe, production-like validation.
Natural language interface for querying and exploring enterprise data.
Platform coverage
Accelerator-led migration from legacy SQL, Synapse, and on-prem estates onto OneLake and Fabric warehouses.
Warehouse modernization with automated conversion of legacy ETL, stored procedures, and SQL dialects.
Lakehouse engineering on Delta Lake for analytics, streaming, and ML-ready governed data products.
Serverless warehouse migration with SQL dialect conversion and cost-governed dataset design.
Estate modernization and workload tuning - or structured migration onto your next target platform.
Engagement models
Canvas-led evaluation of current state and target architecture.
Accelerator-led migration of a defined workload or platform.
Semantic layer, governance, and metadata architecture for AI readiness.
Phased, multi-workload migration program.