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.