Fabric encourages a clean, proven approach to organizing data: the medallion architecture. Three layers — Bronze, Silver, and Gold — each serving a distinct purpose, together forming a reliable, scalable data pipeline.

Bronze — Raw Data

Ingested from source systems with minimal transformation. This is your landing zone — data arrives here as-is, preserving the original state for auditability and reprocessing.

Silver — Cleaned & Conformed Data

Standardized schemas, deduplication, enrichment. Silver is where raw data becomes trustworthy — consistent formats, resolved duplicates, and enriched context that analysts can rely on.

Gold — Business‑Ready Data

Aggregations, dimensional models, analytics‑optimized tables. Gold is what your business users and Power BI reports actually consume — pre-modeled, performant, purpose-built.

Why Medallion Architecture Works So Well in Fabric

• Delta Lake supports ACID transactions — data integrity at every layer.
• Pipelines and notebooks integrate seamlessly to move data between layers.
• SQL Endpoints allow analysts to query Silver/Gold directly without Spark.
• Power BI models read Gold tables via Direct Lake — always fresh, no refresh needed.

This architecture ensures clarity, scalability, and trust across your entire data estate.

Pipelines & Dataflows Gen2 — Ingestion Made Simple

Fabric Pipelines provide enterprise‑grade orchestration for moving data between layers:

• Scheduled ingestion
• Copy activities
• Metadata‑driven patterns
• Error handling and retry logic
• Monitoring and parameterization

Dataflows Gen2 bring low‑code transformation directly into OneLake, enabling business users to contribute to the data estate without writing code. Together, they form a powerful ingestion layer that feeds your Lakehouse.

Notebooks & PySpark — The Transformation Engine

Fabric notebooks support PySpark, SQL, Markdown, visualizations, and ML libraries. Common transformation patterns include:

• Incremental loads
• Merge operations
• Partition pruning
• Schema evolution
• Delta optimization (Z‑Order, file compaction)

Notebooks are where data engineers craft the logic that shapes raw data into reliable, trusted assets — the kind your business can actually build decisions on.