Azure Data Factory user interface experience (UX) authors directly against the data factory service. This experience has the following limitations: The Data Factory service doesn't include a repository for storing the JSON entities for your changes. The only way to save changes is via the Publish All button and all changes are published directly to the data factory service. The Data Factory service isn't optimized for collaboration and version control. The Azure Resource Manager template required to deploy Data Factory itself is not included. To provide a better authoring experience, Azure Data Factory allows you to configure a Git repository with either Azure Repos or GitHub. Git is a version control system that allows for easier change tracking and collaboration. This article will outline how to configure and work in a git repository along with highlighting best practices and a troubleshooting guide.
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