Section 6 — How Direct Lake Integrates with Lakehouses
Direct Lake is deeply tied to the Lakehouse architecture.
Lakehouse Components
- Files (raw data)
- Delta tables (structured data)
- SQL endpoint
- Notebooks
- Pipelines
Direct Lake Reads Gold Tables
In a medallion architecture:
- Bronze = raw
- Silver = cleaned
- Gold = business-ready
Direct Lake models should always read Gold tables.
Why Gold Tables?
- Cleaned
- Conformed
- Aggregated
- Optimized
- Business-friendly
This ensures: Fast performance, Accurate analytics, Stable schemas, Predictable modeling.
Section 7 — How Direct Lake Integrates with Fabric Warehouse
Fabric Warehouse also stores data in OneLake as Delta tables. This means Direct Lake can read Warehouse tables directly.
This is a major advantage over traditional warehouses like Snowflake or Synapse.
Benefits
- No ETL needed
- No duplication
- No refresh
- No latency
- Unified governance
- Unified security
Warehouse + Direct Lake = SQL + BI in perfect harmony.
Section 8 — Designing a Direct Lake Architecture (Real-World Blueprint)
Here is the architecture used by top enterprises adopting Fabric:
- Step 1 — Ingest Raw Data into Bronze: Use Pipelines or Event Streams.
- Step 2 — Transform into Silver: Use PySpark notebooks.
- Step 3 — Model Gold Tables: Use SQL endpoint or notebooks.
- Step 4 — Build Semantic Model: Connect Direct Lake to Gold tables.
- Step 5 — Publish Dashboards: Power BI reads Delta tables directly.
- Step 6 — Add Real-Time Streams: Event Streams → Lakehouse → Direct Lake → Dashboard
- Step 7 — Govern Everything: Purview handles Lineage, Sensitivity labels, Access control.
- Step 8 — Deploy Across Dev/Test/Prod: Use deployment pipelines.
This is the modern BI architecture.
Direct Lake Series Navigation
This article is Part 3 of 5 in the Direct Lake series.
Previous: Direct Lake — Why It Matters & How It Compares to Import and DirectQuery
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📚 Direct Lake Series
← Previous: Direct Lake — Why It Matters & How It Compares to Import and DirectQuery | → Next: Direct Lake — Performance Optimization, Limitations & Real-World Use Cases.
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Direct Lake Deep Dive Series
This is Part 3 of 5 in the Direct Lake Deep Dive Series.
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