oracle-ai-data-platform-workbench-databricks-migrator

This plugin enables Claude to orchestrate end-to-end migration of Databricks workloads (notebooks, jobs, catalogs, schedules) to Oracle AI Data Platform. It includes a bundled Python migration engine with 18 DDL rewrite rules, dependency resolution, live cluster execution/verification, and fixup workflows—designed for safe, agentic batch and streaming convergence.

• Orchestrate automated migration of Databricks notebooks, jobs, schedules, and Unity Catalog / HMS metadata to AIDP
• Rewrite Databricks DDL (3-part names, s3:// paths, delta properties) to AIDP 2-part naming and oci:// storage via configurable bucket mapping
• Execute Pass-1 dependency resolution and Pass-2 cell-by-cell execution with Claude-driven verify-and-fix loops on live AIDP clusters
• Build workflow DAG manifests and manage fixup-cell rewinding for failed migrations
• Validate data availability pre-migration and sandbox writes to redirect schemas for safety
• Apply acceptance-contract pattern for batch/streaming workload convergence with 10 skills, 4 slash commands, and 2 reviewer agents