Introduction to the well-architected data lakehouse
These articles help you design and implement an effective lakehouse on the Databricks Data Intelligence Platform. They provide architectural guidance, best practices, and principles for building a reliable, efficient, and cost-effective lakehouse.
-
- The scope of the lakehouse
- Understand the building blocks of the Databricks Data Intelligence Platform and how they integrate with your systems.
-
- Guiding principles
- Ground rules that define the vision and influence your data, analytics, and AI architecture decisions.
-
- Lakehouse reference architectures
- Architecture blueprints showing recommended Databricks setup and cloud integration. Available as PDFs in 11 x 17 format.
-
- Well-architected lakehouse framework
- Architectural best practices for a secure, reliable, efficient, interoperable, and cost-effective lakehouse.