This session will introduce the audience to patterns to deploy code between Azure Data Factory (ADF) environments. Using either Azure DevOps or GitHub to keep code safe is great, but it is limited to a single environment. Branching could be used to push code, but there can be problems with this pattern. Automating the process with either Azure Pipelines in Azure DevOps or Actions in GitHub will help ensure a more consistent approach is taken through environments beyond development. ADF pipelines may have scheduled triggers to start them, which creates special needs. This session will also show how to overcome triggers to successful deployments.