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Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow #48

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utterances-bot opened this issue Aug 26, 2020 · 1 comment

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@utterances-bot
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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.

https://blog.kubeflow.org/mlops/

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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?

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