November 22, 2019

238 words 2 mins read

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

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

Please bring your laptop fully charged as we will have limited charging stations available in the room.This session targets data scientists and ML engineers who want to leverage Kubernetes to scale up …

Talk Title Tutorial: From Notebook to Kubeflow Pipelines: An End-to-End Data Science Workflow
Speakers Michelle Casbon (Senior Engineer, Google), Stefano Fioravanzo (Research Software Engineer, Fondazione Bruno Kessler), Ilias Katsakioris (Software Engineer, Arrikto)
Conference KubeCon + CloudNativeCon North America
Conf Tag
Location San Diego, CA, USA
Date Nov 15-21, 2019
URL Talk Page
Slides Talk Slides
Video

Please bring your laptop fully charged as we will have limited charging stations available in the room.This session targets data scientists and ML engineers who want to leverage Kubernetes to scale up their Machine Learning experiments. Attendees will learn a) the basics of Kubeflow, the ML toolkit for K8s, and b) how to build and deploy complex data science pipelines on-prem and on the Cloud with Kubeflow Pipelines.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.Setup: must bring own laptop. Qwiklab/GCP credits will be provided

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