What problem does it solve?
This Skill helps teams move Databricks notebooks, jobs, and data workflows into Microsoft Fabric without rewriting everything from scratch, reducing migration risk and manual porting effort.
Core Features & Use Cases
- API Replacement Guidance: Maps dbutils calls to notebookutils equivalents for files, secrets, notebooks, widgets, and runtime management.
- Platform Migration: Translates Unity Catalog namespaces, DBFS paths, Databricks Jobs, Delta Live Tables, and MLflow usage into Fabric-native patterns.
- Operational Best Practices: Recommends Fabric Environments, OneLake Shortcuts, Spark Job Definitions, and Native Execution Engine settings for production-ready migration.
- Use Case: A data engineer can convert a Databricks ETL notebook that uses mounts, widgets, and secret scopes into a Fabric notebook that follows workspace, Lakehouse, and pipeline conventions.
Quick Start
Ask me to migrate a Databricks notebook or job to Microsoft Fabric and I will convert the code, namespace, and runtime patterns into Fabric-compatible instructions.