Overview
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Learn how to streamline and scale your Databricks deployments using Databricks Asset Bundles (DABs) in this comprehensive 37-minute conference talk. Discover how DABs enable declarative, Git-driven deployment workflows that simplify the management of complex data and AI workloads including notebooks, jobs, Delta Live Tables (DLT) pipelines, dashboards, and ML models. Master the fundamentals of asset bundle architecture and explore how to declare, define, and deploy assets while following industry best practices, utilizing templates, and managing dependencies effectively. Dive deep into CI/CD integration and governance strategies by learning to automate deployments through GitHub Actions and Azure DevOps, manage environment differences between development and production, and ensure reproducibility across your data workflows. Explore the latest features and upcoming developments including AI/BI Dashboard support, Databricks Apps integration, Pythonic interfaces, and workspace-based deployment capabilities. Gain practical insights from Databricks experts Pieter Noordhuis (Sr. Staff Software Engineer) and Saad Ansari (Product Management) that will help data engineers, ML practitioners, and platform architects improve reliability, efficiency, and compliance in their Databricks implementations.
Syllabus
Deploying Databricks Asset Bundles (DABs) at Scale
Taught by
Databricks