Part 3 – Unlock the Power of Azure Data Factory: A Guide to Boosting Your Data Ingestion Process

Part 3 of this blog series focuses on developing and deploying an Azure Data Factory into multiple environments. The YAML pipeline structure is used to publish and deploy artifacts to specific environments. The blog also discusses the publishing concept for Azure Data Factory, where an instance of ADF runs in live mode and Git branches are used for development. The main takeaway is that the publishing process creates an ARM Template file for deployment. The blog also covers defining variables in the pipeline and the importance of not setting secret variables in the YAML file. The full blog series can be found on the Healthcare and Life Sciences Tech Community website.