e2e-medallion-architecture Skill
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture Published by microsoft in skills-for-fabric.
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Deployment, Data analysis, Includes SKILL.md, Reusable instructions
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2 months ago · MIT license
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What is e2e-medallion-architecture Skill?
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture Published by microsoft in skills-for-fabric. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Deployment use cases
- Data analysis use cases
Declared skill metadata
- Source file: skills/e2e-medallion-architecture/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use e2e-medallion-architecture Skill
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills-for-fabric
- Skill file: skills/e2e-medallion-architecture/SKILL.md
What it does
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture
Skill instructions
Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: e2e-medallion-architecture (az rest: --headers "x-ms-fabric-skill=e2e-medallion-architecture"), including every LRO poll, fabriclro and retry. Snippets omit it — add it anyway. CRITICAL NOTES 1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering 2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering End-to-End Medallion Architecture Prerequisite Knowledge Read these companion documents — they contain the foundational context this skill depends on: - COMMON-CORE.md — Fabric REST API patterns, authentication, token audiences, item discovery - COMMON-CLI.md — az rest, az login, token acquisition, Fabric REST via CLI - SPARK-AUTHORING-CORE.md — Notebook deployment, lakehouse creation, job execution - notebook-api-op
Verified compatibility and discovery
Frequently asked questions
What is e2e-medallion-architecture?
e2e-medallion-architecture is a open-source AI agent skill with Copy skill directory. Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark.
Who is e2e-medallion-architecture best for?
e2e-medallion-architecture is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.
How do I install e2e-medallion-architecture?
Install or run e2e-medallion-architecture using Copy skill directory. Check e2e-medallion-architecture for the latest setup command.
Is e2e-medallion-architecture actively maintained?
e2e-medallion-architecture may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.