Hello, We have multiple data bricks instances each represents an environment dev,qa,rel,prod etc.. We developed a model in the dev workspace and registered in the UC model registry using mlflow. Now, we are trying to find a best way to deploy this registered model into the target environments. We want to avoid rerun of the training pipeline in the target env, instead promote/copy/transition the registered model, its version and experiments into the target env.
Can you please help us on how to achieve this?
Thanks
