[英]How to automate Azure data factory pipeline deployments
I want to automate Azure data factory pipeline deployments.我想自动化 Azure 数据工厂管道部署。 I have Self Hosted Integration runtimes with a different name in each environment (ie SHIR-{environment}).
我在每个环境中都有不同名称的自托管集成运行时(即 SHIR-{environment})。 I have different data sources and destinations for each environment.
对于每个环境,我都有不同的数据源和目的地。 (ie different SQL server names or Hostnames) How can I perform the automatic weekly deployments to promote changes from GitHub dev branch to stage and stage to production?
(即不同的 SQL 服务器名称或主机名)我如何执行自动每周部署以促进从 GitHub 开发分支到阶段和阶段到生产的更改? I don't want to modify these database server names in linked services during the GitHub PR merge.
我不想在 GitHub PR 合并期间修改链接服务中的这些数据库服务器名称。
To set up automated deployment, start with an automation tool, such as Azure DevOps.要设置自动化部署,请从自动化工具开始,例如 Azure DevOps。 Azure DevOps provides various interfaces and tools in order to automate the entire process.
Azure DevOps 提供各种接口和工具,以实现整个过程的自动化。
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