How to Configure Your Azure Data Factory with Azure DevOps Instead of Git

Discover a step-by-step approach to configure your Azure Data Factory for Azure DevOps, enhancing your project's collaboration and version control.
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How to Configure Your Azure Data Factory with Azure DevOps Instead of Git

When working with Azure Data Factory, many professionals initially set up their projects to use Git for version control. However, if you're interested in leveraging Azure DevOps for a more integrated experience, you might be wondering how to make that switch. In this guide, we’ll guide you through the process of configuring your Azure Data Factory to use Azure DevOps instead of Git.

Understanding the Problem

Initially, a typical configuration for Git in Data Factory would look like this:

[[See Video to Reveal this Text or Code Snippet]]

While this setup works for Git options, it doesn’t serve when you want to integrate Azure DevOps. Let’s break down how to achieve this configuration effectively.

The Solution: Configuring Azure DevOps

To configure Azure Data Factory for Azure DevOps, you’ll need to adjust the repoConfiguration section in your template. Here’s what your updated configuration should look like:

[[See Video to Reveal this Text or Code Snippet]]

Key Components to Include

Type: Change the type from FactoryGitHubConfiguration to FactoryVSTSConfiguration, which specifically aligns with Azure DevOps.

Account Name: You'll need to set the accountName to your Azure DevOps account name.

Repository Name: Specify the name of your Azure DevOps repository where your code will be stored.

Project Name: This is crucial as it identifies the project in which your repository resides.

Collaboration Branch: Define the branch that will be used for collaboration, typically the main or master branch.

Root Folder: Indicate the root folder within your repository where your Data Factory's artifacts will be stored.

Tenant ID: Provide the tenant ID that corresponds to your Azure subscription. This is important for authentication and access.

Summary of Changes

Here’s a quick overview of the changes to make:

Change configuration type from Git to Azure DevOps.

Add required parameters, such as projectName and tenantId, that are specific to Azure DevOps.

Ensure proper parameter values are provided to avoid deployment issues.

Conclusion

Configuring Azure Data Factory to work with Azure DevOps instead of Git might seem daunting initially, but following these structured guidelines will simplify the process. This integration offers enhanced benefits for collaboration and project management, streamlining your data integration workflows.

Now that you've learned how to do this configuration, you can leverage Azure DevOps capabilities more effectively within your data projects. Happy developing!

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