data-engineering-patterns-fabric-databricks
Official600+ patterns and concepts for Azure Databricks, Microsoft Fabric, and PySpark data engineering
Data & Analytics#best practices#patterns#data engineering#pipeline design#PySpark#Microsoft Fabric#Azure Databricks
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides data engineers with a comprehensive library of patterns for designing and implementing scalable, reliable, and cost-effective data pipelines, architectures, and systems.
Core Features & Use Cases
- Patterns for Microsoft Fabric: 250 patterns cover pipeline design, lakehouse architecture, warehouse and SQL, Power BI, and more.
- Patterns for Azure Databricks: 350 patterns include cluster management, Delta Lake, workflows, and cost optimization.
- Patterns for PySpark: 88 concepts for production Spark across both platforms.
- Use Case: Utilize this Skill to optimize your Azure Databricks and Microsoft Fabric clusters, implement best practices for Delta Lake, and design robust PySpark transformations.
Quick Start
Clone the repository to access the pattern PDFs: git clone https://github.com/ssanjaychandra123/data-engineering-patterns.git and navigate to data-engineering-patterns/.
Dependency Matrix
Required Modules
gitpython
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-engineering-patterns-fabric-databricks Download link: https://github.com/Aradotso/data-skills/archive/main.zip#data-engineering-patterns-fabric-databricks Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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