You already know how to build and monitor Azure Data Factory (ADF) solutions. But how do you deploy your solutions between environments, and how do you automate this process?


In this session, we will first manually deploy an Azure Data Factory solution. During this manual deployment, we will go through how and why you should store your secrets in Azure Key Vault, as well as explain how Azure Resource Manager (ARM) Templates work.


Then, we will configure source control and build an Azure DevOps pipeline to automatically deploy the Azure Data Factory solution each time a new version is published. During this automated deployment process, we will walk through the Continuous Integration and Continuous Delivery (CI/CD) Lifecycle for Azure Data Factory and discuss options for team development across multiple environments.


Throughout the session, we will cover best practices and lessons learned during real-world projects.

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