Deploying Databricks Asset Bundles (DABs) at Scale

Managing data and AI workloads in Databricks can be complex. Databricks Asset Bundles (DABs) simplify this by enabling declarative, Git-driven deployment workflows for notebooks, jobs, DLT pipelines, dashboards, ML models and more.

Join the DABs Team for a Deep Dive and learn about:

• The Basics: Understanding Databricks asset bundles
• Declare, define and deploy assets, follow best practices, use templates and manage dependencies
• CI/CD & Governance: Automate deployments with GitHub Actions/Azure DevOps, manage Dev vs. Prod differences, and ensure reproducibility
• What’s new and what's coming up! AI/BI Dashboard support, Databricks Apps support, a Pythonic interface and workspace-based deployment

If you're a data engineer, ML practitioner or platform architect, this talk will provide practical insights to improve reliability, efficiency and compliance in your Databricks workflows.