Forum Discussion
Super UserBest Way to do CICD for data Science workloads
Hi Srisakthi , for ML Models, you have 2 options. You can use the built-in Fabric deployment pipelines or you can leverage a Git integration to use a service such as Azure DevOps. Both are fully supported. Here is some documentation below:
Super UserHi SamsonTruong ,
Thanks for your response. It helps me. My scenario is i have multiple datascience workpsaces and each has ML models. i need to promote all these ML models from different workspace to one workspace in my test environment. What is the best approach i can chose?
Regards,
Sri
Super UserHi Srisakthi , for ML Models, you have 2 options. You can use the built-in Fabric deployment pipelines or you can leverage a Git integration to use a service such as Azure DevOps. Both are fully supported. Here is some documentation below: