Deploying Databricks Asset Bundles (DABs) at Scale скачать в хорошем качестве

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. Talk By: Pieter Noordhuis, Sr. Staff Software Engineer, Databricks ; Saad Ansari, Product Management, Databricks Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/... The Big Book of Data Engineering: https://www.databricks.com/resources/... See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat... Connect with us: Website: https://databricks.com Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Facebook:   / databricksinc