Session

Deploying Databricks Asset Bundles (DABs) at Scale

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Overview

Tuesday

June 10

11:30 am

ExperienceIn Person
TypeBreakout
TrackData Engineering and Streaming
IndustryEnterprise Technology
TechnologiesApache Spark, DLT, LakeFlow
Skill LevelAdvanced
Duration40 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