#azure #azuredatafactory #datafactory
In this video, we will learn how to integrate Azure Data Factory with an Azure DevOps Git repository for proper source control and CI/CD implementation.
Version control is critical when working with data pipelines, triggers, datasets, and linked services. By connecting ADF with Azure DevOps, we can enable collaborative development, branching strategy, and automated deployments.
🔹 What You’ll Learn:
✅ Why Git integration is important in ADF
✅ How to configure repository settings in Azure Data Factory
✅ Creating and publishing from collaboration branch
✅ Understanding adf_publish branch
✅ Managing feature branches
✅ Best practices for ADF CI/CD
✅ Deployment strategy using Azure DevOps pipelines
This session is especially useful for:
Azure Data Engineers
DevOps Engineers
Cloud Architects
Data Platform Teams
If you are building enterprise-grade data solutions in Azure, proper Git integration is mandatory for governance, rollback strategy, and release management.
🚀 Key Concepts Covered:
Git Repository Setup
Collaboration Branch vs Publish Branch
ARM Template Generation
CI/CD for Azure Data Factory
Source Control Best Practices
Multi-environment Deployment (Dev → QA → Prod)
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ADF Source Control
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Azure ARM Template Deployment
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Azure Data Engineering
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Microsoft Azure Data Factory
ADF Collaboration Branch
Data Factory Git Configuration
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