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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.
| Feature | Description |
|---|---|
| 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. |
| Databricks deployment guide | Step-by-step procedures for deploying a production-ready Databricks lakehouse across 9 phases, from account setup to monitoring and disaster recovery. |
| Well-architected lakehouse framework | Architectural best practices for a secure, reliable, efficient, interoperable, and cost-effective lakehouse. |
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