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Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow
Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow
An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.
What's your take on Dataiku and their functionality for accomplishing what you've laid out here? How does the reconciler vs DAG differ from what they lay out here (building a DAG with more sophisticated build logic for each node) https://doc.dataiku.com/dss/latest/scenarios/step_flow_control.html?