Tutorial: From Notebook to Kubeflow Pipelines: An End-to-End Data Science Workflow

by | November, 2019 | Talks, Tutorials

1 min read
Tutorial: From Notebook to Kubeflow Pipelines: An End-to-End Data Science Workflow

November 21, 2019 @ KubeCon + CloudNativeCon North America 2019

The tutorial will focus on two essential aspects:

1. Low barrier to entry: deploy a Jupyter Notebook to Kubeflow Pipelines on the cloud using a fully GUI-based approach. This workflow enables data scientists to exploit the scaling potential of K8s – no CLI commands, SDKs, or K8s knowledge required.

2. Reproducibility: automatic data versioning and volume snapshots will enable full reproducibility and collaborative development, as well as fine grained analysis and visualizations after pipeline executions.

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