In this post in our Databricks mini-series, I’d like to talk about integrating Azure DevOps within Azure Databricks. Databricks connects easily with DevOps and requires two primary things. First is a Git, which is how we store our notebooks so we can look back and see how things have changed. The next important feature is the DevOps pipeline. The pipeline allows you to deploy notebooks to different environments.
Do you want to learn how to Control Project Chaos with Azure DevOps? In a recent webinar, Principal Consultant, Michael French teaches you about the functionality in Azure DevOps to help control the technical tasks involved in a project.
Azure DevOps provides developer services to support teams to plan work, collaborate on code development, and build and deploy applications. Developers can work in the cloud using Azure DevOps Services or on-premise using Azure DevOps Server. If you’re familiar with Azure DevOps, you know that it integrates with Dev Hub and we need that for a source repository.
Are you using Azure DevOps and want to know how to use it as a code repository? A benefit to using DevOps (or any code repository) is you can create a method to preserve the code from a working version while you’re making modification. In this post I’ll show you how to connect an existing Azure Data Factory project to an Azure DevOps code repository.
Interested in learning more about automation in Azure? In a recent webinar, Josh Gural explored ways to provide automation for efficiencies and cost savings and the Azure DevOps offerings for a predictable controlled release pipeline, as well as helping decide whether Azure Automation and Azure DevOps is right for you.