The Enterprise Databricks Readiness Checklist is a practical guide for building and managing a cost-efficient, governed Databricks platform. It covers 18 actions across compute optimization, Unity Catalog, Delta storage, pipelines, security, and AI/ML workloads. Use it to identify platform gaps, improve governance, and prepare Databricks for enterprise-scale analytics and AI.

Assess Your Databricks Platform

Review key areas of your Databricks environment, including compute usage, workspace governance, data storage, pipeline operations, security controls, and AI workloads. The checklist helps identify cost issues, governance gaps, inefficient workloads, and configuration risks before they impact performance or scalability.

Build a Scalable Databricks Foundation

Apply proven practices to improve platform performance, manage costs, and support advanced analytics and AI workloads. The checklist guides teams through cluster policies, Unity Catalog adoption, Delta optimization, pipeline automation, security controls, and ML governance to create a reliable Databricks environment.