Category Archives: Azure Data Factory
Azure Data Factory & DevOps – Advanced YAML Pipelines
In this post I would like to touch again modern Azure DevOps YAML Pipelines. It will be an extension of the previous one – Azure Data Factory & DevOps – YAML Pipelines. After it was published, YAML Pipelines moved from a preview to a general availability state. So, it is a good time to talk […]
Azure Data Factory & DevOps – YAML Pipelines
This post is about configuring Azure DevOps YAML pipelines as the CI/CD process for the Azure Data Factory. It provides rational points on why YAML can be a preferable alternative to Classic pipelines. Also, it demonstrates a basic scenario – a YAML pipeline that runs an automatic deployment of the Azure Data Factory objects to […]
Azure Data Factory & DevOps – Setting-up Continuous Delivery Pipeline
This is a final post of a DevOps series related to Classic pipelines, and I will touch here well-known practices: Continuous Integration/Continuous Delivery or CI/CD and how they relate to Azure Data Factory. It is a continuation of a one I published earlier: Azure Data Factory & DevOps – Integration with a Source Control. Prerequisites […]
Azure Data Factory & DevOps – Integration with a Source Control
A few recently published posts – Automated Deployment via Azure CLI and Post-Deployment Configuration via Azure CLI are about getting blank environments deployed and configured automatically and consistently. It is time now to integrate a development stage with Azure DevOps. In this post, I will make a step by step guide of how to add a […]
Azure Data Factory & DevOps – Post Deployment Configuration via Azure CLI
Previous post – Automated Deployment via Azure CLI is an example of how to get a brand-new environment by firing a script. However, it comes pretty blankly and unconfigured. In this post, I would like to talk about an automated configuration of Azure Data Factory deployments. At least a few things can be scripted in most of […]