🎓 Hands-on DataOps with Databricks, Terraform & GitHub Actions

🎓 Webinar: Hands-on DataOps with Databricks, Terraform & GitHub Actions

🚀 Webinar Overview

In this hands-on webinar, we’ll walk through how to deploy and manage Databricks ETL workflows using Terraform and GitHub Actions, simulating a real-world DataOps/DevOps automation scenario. You'll learn how to set up a modern data platform on Azure and execute jobs and notebooks using infrastructure-as-code.

🎯 Perfect for data engineers, DevOps professionals, and cloud architects looking to automate and scale their Databricks workflows.

🧭 Agenda

1️⃣ Introduction to Databricks

• What is Databricks?
• Unified analytics platform for data + AI
• Key concepts: workspaces, clusters, notebooks, jobs

2️⃣ Azure Databricks Essentials

• Why Azure Databricks?
• Architecture, pricing, and capabilities
• Enterprise vs. Community edition

3️⃣ Live Demo: Deploying Databricks Workspace using Terraform

• Automating resource group, VNet, and Databricks workspace provisioning
• Using Terraform modules for scalable setup
• Remote state and environment separation (infra vs. app)

4️⃣ Local Setup for Learners: Databricks Community Edition

• How to sign up for Community Edition (no Azure account needed)
• Running notebooks and exploring the UI
• Workspace tips for self-paced experimentation

5️⃣ Automating DataOps with Terraform & GitHub Actions

• Managing notebooks, ETL jobs, and workflows as code
• Building a GitOps-style CI/CD pipeline with GitHub Actions
• Scheduling serverless jobs in Databricks from code

🛠️ You’ll Learn How To:

• Use Terraform to provision Azure Databricks resources
• Upload and schedule Python-based notebooks using IAC
• Build reproducible and collaborative data workflows
• Empower team members without Azure access using Community Edition
• Run a complete Databricks pipeline using GitHub Actions

🧰 What You'll Need

• Basic understanding of cloud and Terraform
• A GitHub account
• Optional: Azure subscription (for workspace demo)
• Required: Sign up for Databricks Community Edition

🎁 Bonus

All participants will get access to:
✅ Demo code & GitHub repo
✅ Terraform templates for Databricks automation
✅ Session recording and walkthrough guide

FAQ

✅ 1. Do I need an Azure account to participate in the webinar?
No. While the demo includes Azure Databricks, we'll also guide attendees through setting up Databricks Community Edition, which is free and doesn't require an Azure subscription. This allows everyone to follow along and try out the examples.

✅ 2. What experience level is expected for attendees?
This webinar is beginner-friendly. You'll benefit the most if you have basic familiarity with cloud computing, Terraform, or data platforms, but no prior experience with Databricks is required.

✅ 3. Will I get access to the Terraform code and notebooks used in the demo?
Yes! All participants will receive a link to a GitHub repository with the Terraform templates, Python notebooks, and CI/CD workflow used in the session.

✅ 4. Will the webinar be recorded?
Yes, the session will be recorded and shared with all registrants. You’ll be able to revisit the material or catch up if you can’t attend live.

✅ 5. Can I use this workflow for real-world projects or production environments?
Absolutely. The workflow shown during the demo is based on real DataOps practices, and can be extended for production use — including secure CI/CD pipelines, multi-environment Terraform, and team-based collaboration on Databricks.

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