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Learn about Azure Databricks architecture concepts including platform fundamentals and lakehouse design patterns.
Architecture overviews
Understand the foundational architecture of Azure Databricks. Apply proven architectural principles and best practices to build robust and scalable lakehouse solutions.
| Topic | Description |
|---|---|
| High-level architecture | Overview and diagram of Azure Databricks platform architecture, including control plane, compute plane, and storage components. |
| Introduction to the well-architected data lakehouse | Detailed guidance and implementation framework for designing a well-architected data lakehouse. |
| Lakehouse reference architectures (download) | Detailed architectural patterns and implementation examples for common Azure Databricks deployments. |
Lakehouse concepts
Learn about the lakehouse approach to data management.
| Topic | Description |
|---|---|
| What are ACID guarantees on Databricks? | Learn how ACID (Atomicity, Consistency, Isolation, Durability) properties ensure data reliability in the lakehouse. |
| What is the medallion lakehouse architecture? | Understand the medallion architecture pattern for organizing data processing in bronze, silver, and gold layers. |
| What does it mean to build a single source of truth? | Discover how to establish a single source of truth for reliable, consistent data across your organization. |
| Data discovery and collaboration in the lakehouse | Learn about tools and practices for data discovery and cross-team collaboration in lakehouse environments. |