Deploying Databricks Asset Bundles (DABs) at Scale

Overview
Tuesday
June 10
11:30 am
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Apache Spark, DLT, LakeFlow |
Skill Level | Advanced |
Duration | 40 min |
This session is repeated.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, Lakeflow Declarative Pipelines, dashboards, ML models and more.Join the DABs Team for a Deep Dive and learn about:The Basics: Understanding Databricks asset bundlesDeclare, define and deploy assets, follow best practices, use templates and manage dependenciesCI/CD & Governance: Automate deployments with GitHub Actions/Azure DevOps, manage Dev vs. Prod differences, and ensure reproducibilityWhat’s new and what's coming up! AI/BI Dashboard support, Databricks Apps support, a Pythonic interface and workspace-based deploymentIf 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.
Session Speakers
Pieter Noordhuis
/Sr. Staff Software Engineer
Databricks
Saad Ansari
/Product Management
Databricks