7 Best Practices for Development and CICD on Databricks
Summary
Seven best practices for development and CI/CD on Databricks are presented: version control, automated code testing, deployment to isolated environments, system health monitoring, data quality checks, automated schema deployments, and automated rollback on failures. These practices enable teams to deploy high-quality data pipelines with confidence and maintain strong governance throughout the development lifecycle.
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