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Data warehousing on Azure Databricks combines cloud data warehousing capabilities with lakehouse architecture. Databricks SQL provides the tools and services to build highly-performant, cost-effective data warehouses that run directly on your data lake.
Getting started
Essential resources for beginning your data warehousing journey:
| Topic | Description |
|---|---|
| Data warehousing architecture | Architecture and patterns including lakehouse design, medallion layers, and data modeling approaches. |
| Databricks SQL concepts | Core concepts and terminology for understanding Databricks SQL and data warehousing. |
| Queries and data visualization | Step-by-step tutorial for creating queries and building visualizations. |
Core tools
Key tools for building and managing your data warehouse:
| Tool | Description |
|---|---|
| SQL Editor | In-platform SQL editor for authoring and scheduling queries. |
| Queries | Query management features including history, caching, and optimization. |
| Metric views | Semantic layer for defining business metrics with consistent calculations. |