Fabric Data Engineering
CommunityMaster Fabric lakehouses and Spark workloads.
Data & Analytics#fabric#data-pipelines#lakehouse#delta-lake#medallion-architecture#spark-notebook#sql-endpoint
Authormarkus41
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Fabric data engineering teams often struggle to design, deploy, and govern scalable lakehouse architectures and data pipelines across Bronze/Silver/Gold layers, notebooks, and Delta tables. This skill provides a structured, knowledge-rich framework to accelerate delivery and ensure consistency across projects.
Core Features & Use Cases
- Standardized medallion architecture (Bronze/Silver/Gold) for reliable data processing and lineage.
- End-to-end Fabric data engineering workflows including lakehouses, Delta tables, Spark notebooks, and pipelines.
- Guidance for production-ready governance, schema management, and performance optimizations across Fabric workloads.
Quick Start
Set up a complete Fabric data engineering environment with a Bronze ingestion lake, Silver conformed layer, and Gold analytics table, then validate with a sample Spark notebook.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: Fabric Data Engineering Download link: https://github.com/markus41/Claude-m/archive/main.zip#fabric-data-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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