Azure
Data & Analytics
advanced
Medallion Lakehouse — Azure Architecture Template
Data Factory lands raw data into ADLS Gen2; Databricks refines bronze-silver-gold layers served through Synapse and ML.
Why this architecture works
- Bronze/silver/gold layering keeps raw data immutable while refined layers stay reproducible
- ADLS Gen2 hierarchical namespace enables ACL-scoped folders per zone and per team
- Databricks handles heavy transformation; Synapse serves curated gold tables to analysts via familiar SQL
- Data Factory pipelines are parameterized and idempotent so backfills are a rerun, not a rewrite
- Service principals for engine access are stored in Key Vault, and job telemetry lands in Log Analytics
What's inside (8 resources)
Ingestion
data-factory
Landing Zone
storage-account
Lake (Bronze/Silver/Gold)
data-lake-gen2
Spark Processing
databricks
SQL Serving
synapse-workspace
ML Consumers
machine-learning
Secrets
key-vault
Logs
log-analytics-workspace
From template to running infrastructure
- Open this template in the CloudForge visual designer (free account, no credit card).
- Customize resources, names, and connections on the drag-and-drop canvas — or ask Vani, the AI architect, to adapt it.
- Generate production-ready Terraform, ARM, or Bicep in one click.
- Review the plan diff and security scan, then deploy with human approval.