9.3 — Event Streams + OneLake & Lakehouse

Event Streams + OneLake — Unified Real-Time Storage

Event Streams write streaming data directly into OneLake — no separate storage layer, no synchronization, no duplication.

Benefits:

• No duplication
• No synchronization
• No refresh cycles
• Unified governance
• Unified security
• Unified lineage

Bronze Streaming Layer

Streaming data lands in Bronze as Delta tables, append-only logs, and partitioned files. This is the foundation of the real-time medallion architecture.

Event Streams + Lakehouse — Real-Time Medallion Architecture

Event Streams integrate directly with Lakehouses to power a streaming medallion architecture:

Event Streams → Bronze → Silver → Gold → Direct Lake → Dashboard

Layer	What It Contains	Processed By
Bronze	Raw streaming events	Event Streams (auto-write)
Silver	Cleaned, conformed streaming data	Notebooks / Pipelines
Gold	Aggregated, business-ready data	Notebooks / Pipelines
Direct Lake	Real-time BI layer	Power BI semantic models

This is real-time analytics at its cleanest — one continuous flow from event to insight, all within Fabric, all on OneLake.

Why This Architecture Matters

Traditional real-time architectures required separate streaming infrastructure alongside batch pipelines — two codebases, two governance models, two operational teams. Fabric collapses that into one.

• Streaming and batch share the same Delta tables — no lambda architecture overhead
• Governance applies to streaming data automatically — Purview sees it all
• Power BI reads the Gold layer in real time — no refresh jobs needed
• One storage layer (OneLake) — no synchronization between lake and warehouse

The real-time medallion pattern in Fabric is the most operationally efficient real-time architecture available today.