Project
Modern Migration Accelerator for Databricks
Migration assessment accelerator that turns legacy metadata into a governed backlog, risk model and Databricks target blueprint.
- Context
- Product-oriented Databricks migration assessment project documented on Medium.
- Problem
- Large migration programs often start with unclear legacy estates, weak dependency visibility and planning evidence spread across documents and workshops.
- Solution
- Built a Databricks Asset Bundle that parses legacy metadata, writes governed Delta assessment outputs and connects graph impact, semantic search, RAG evidence and MLflow auditability.
- Impact
- Provides a practical decision layer before migration execution, with inventory, dependencies, risk register, priority matrix, target blueprint and auditable GenAI evidence.
Stack
DatabricksUnity CatalogDelta LakeDatabricks Asset BundlesVector SearchRAGMLflowNeo4j
Links
This is listed under Projects because it describes a concrete product-oriented accelerator with architecture, boundaries, outputs and delivery shape.
The current public version links to the Medium article. A product demo video can be added later when the YouTube publication is ready.