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Databricks and Azure DevOps Integration | Setup Git Version Control in Databricks | CI/CD for Data-Driven Apps

Description: In this video, we'll walk through how to seamlessly integrate Databricks with Azure DevOps to build and automate data-driven applications with powerful CI/CD workflows.

You will learn step-by-step: ✅ How to set up Git version control and connect a Git repository inside Databricks
✅ How to create, edit, and commit changes directly from Databricks
✅ How to create a pull request (PR) from Databricks and collaborate efficiently
✅ Best practices for streamlining data pipeline development with Azure DevOps integration

By the end of this video, you’ll be ready to supercharge your data science and data engineering workflows, unleashing the full potential of Databricks and Azure DevOps together!

🔹 Topics Covered:

Databricks and Azure DevOps integration explained

Setting up Git version control in Databricks

Committing and pushing changes from Databricks

Creating and managing pull requests

Building end-to-end CI/CD pipelines for data applications
Databricks Meets Azure DevOps: Building Data-Driven Apps with CI/CD
Azure DevOps & Databricks Integration: The Ultimate Guide to Data Pipeline Automation
Data-Driven App Development: Unleashing the Power of Databricks & Azure DevOps
Streamline Your Data Science Workflow: Databricks and Azure DevOps Integration
Azure DevOps + Databricks: A Powerful Duo for Data Science Automation
From Data to Deployment: Databricks & Azure DevOps Integration for End-to-End Solutions

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git integration in databricks notebooks
databricks repos and azure devops
end to end cicd with databricks and azure devops

🚀 Whether you're a data engineer, data scientist, or DevOps enthusiast, this guide will help you automate and accelerate your data projects.

Chapters:
00:00 - Introduction
01:30 - Why Integrate Databricks with Azure DevOps?
03:10 - Setting Up Git Version Control in Databricks
07:45 - Creating and Committing Changes in Databricks
11:20 - Creating a Pull Request (PR)
14:50 - Best Practices and Tips
17:00 - Final Thoughts

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