In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data Factory pipelines from one environment (development, test, production) to another.

This project demonstrates how to implement a CI/CD pipeline for Azure Data Factory (ADF) using Azure DevOps. It covers environment setup, version control, build and release pipelines, and …

May 4, 2025 · In this article, we’ll walk you through setting up CI/CD using the Azure DevOps And, we’ll take it a step further by showing you how to inject custom parameters like a …

Mar 14, 2025 · In this guide, we’ll walk through setting up a CI/CD pipeline using GitHub Actions, covering key steps such as exporting ADF resources, managing configurations, and deploying …

Mar 15, 2023 · To enable automated CI/CD, we can use Azure Pipelines or GitHub Actions. In this blog post, we will implement CI/CD with GitHub Actions. This will be done using workflows. A …

Jun 26, 2025 · To automate the process of ADF release reducing the number of manual steps while making it flexible to override necessary parameters, we decided to migrate the ADF …

Aug 4, 2025 · Follow these steps to get started: Open an Azure DevOps project, and go to Pipelines. Select New Pipeline. Select the repository where you want to save your pipeline …

Feb 12, 2023 · If you need to set up CI/CD for your Data Factory, here is how to do it in less than 30 minutes! Many of us are using Data Factory almost daily for our Data Engieering jobs. But …

Explore this public GitHub repository for a detailed guide on setting up CI/CD for Azure Data Factory. Learn best practices, configuration steps, and deployment pipelines to seamlessly …

Jan 29, 2025 · Learn how to use a pre- and post-deployment script with continuous integration and delivery in Azure Data Factory from this sample.