Web Reference: Jan 30, 2026 · This article guides you through configuring Azure DevOps to work with Azure Databricks. Specifically, you will configure a continuous integration and delivery (CI/CD) workflow to connect to a Git repository, run jobs using Azure Pipelines to build and unit test a Python wheel (*.whl), and deploy it for use in Databricks notebooks. Mar 20, 2026 · This course explores software engineering best practices and DevOps principles, specifically designed for data engineers working with Databricks. Participants will build a strong foundation in key topics such as code quality, version control, documentation, and testing. In this post from our Databricks mini-series, I’ll walk you through the process of integrating Azure DevOps with Azure Databricks. This integration gives you version control for your notebooks and the ability to deploy them across development environments seamlessly.
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