Introduction to the Databricks well-architected framework
These articles help you design and implement an effective Databricks platform. They provide architectural guidance, best practices, and principles for building a reliable, efficient, and cost-effective Databricks deployment.
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- The scope of Databricks
- Understand the building blocks of the Databricks Data Intelligence Platform and how they integrate with your systems.
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- Guiding principles
- Ground rules that define the vision and influence your data, analytics, and AI architecture decisions.
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- Databricks reference architectures
- Architecture blueprints showing recommended Databricks setup and cloud integration. Available as PDFs in 11 x 17 format.
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- Databricks deployment guide
- Step-by-step procedures for deploying a production-ready Databricks platform across 9 phases, from account setup to monitoring and disaster recovery.
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- Databricks well-architected framework
- Architectural best practices for a secure, reliable, efficient, interoperable, and cost-effective Databricks platform.