Data Engineering Patterns Fabric Databricks

This gives you 600+ data engineering patterns split across Microsoft Fabric and Azure Databricks, organized into 12 PDF books you can reference while building pipelines. It covers the practical stuff like Delta Lake merge operations, Auto Loader configurations, Unity Catalog governance, and cluster optimization for cost control. The patterns include actual code snippets for common scenarios like incremental loads, change data capture, and time travel queries. If you're working in the Azure data stack and tired of piecing together best practices from scattered docs, this consolidates field-tested approaches in one repo. The PySpark handbook works across both platforms, which is helpful since Fabric and Databricks share that layer but diverge everywhere else.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill data-engineering-patterns-fabric-databricks --agent claude-code