Microsoft Fabric Lakehouse Medallion Architecture
About This Architecture
Microsoft Fabric Lakehouse Medallion Architecture unifies data ingestion, governance, transformation, and serving across Bronze, Silver, and Gold layers within OneLake's single storage fabric. Data flows from diverse sources—SQL databases, REST APIs, streaming events, ERP/SaaS, and IoT—through Data Factory pipelines and Eventstream into medallion-structured Delta tables, with security enforced via Microsoft Entra ID, sensitivity labels, DLP policies, and row/column-level security. Transformation occurs via Fabric Notebooks, Spark clusters, and Dataflow Gen2, while governance is maintained through Microsoft Purview auditing, data lineage, and business glossary integration across DEV, ACC, and PROD workspaces. The semantic layer leverages Power BI Direct Lake datasets with DAX measures and RLS models, serving insights to analysts, scientists, and BI consumers through reports, dashboards, APIs, and mobile apps. Fork this diagram to customize capacity allocation, add Git CI/CD workflows, or adapt medallion layers for your organization's data maturity model.
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How do I design a complete Microsoft Fabric lakehouse architecture with medallion layers, governance, and security?
This diagram shows a production-ready Microsoft Fabric medallion architecture spanning ingestion (Data Factory, Eventstream, REST APIs), Bronze/Silver/Gold Delta tables in OneLake across DEV/ACC/PROD capacities, transformation via Spark and Dataflow Gen2, governance through Microsoft Purview and Entra ID, and serving via Power BI Direct Lake datasets and REST APIs. Use it as a blueprint for enterp
- Domain:
- Data Engineering
- Audience:
- Data engineers and architects designing enterprise data platforms on Microsoft Fabric
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