Data Engineering and Machine Learning on OpenShift

In this hands-on lab, attendees will understand how to use OpenShift Container Platform, OpenShift Container Storage, and the Open Data Hub to provide self-service provisioning of data processing, analytics, and machine learning services to organizations.

This repository contains the materials and resources you need for a workshop.

• a doc folder, containing two files:

  1. for-presenters.md Information to aid the presenter of the workshop.
  2. for-attendees.md Information for the attendee of the workshop.
  3. abstract.md The workshop abstract.

• a deploy folder, containing:

  1. deploy.md Instructions on how to deploy the workshop.
  2. templates OpenShift templates required to deploy the workshop, as well as any Ansible roles and playbooks.

• a slides folder containing:

  1. rendered data-engineering-and-machine-learning-workshop.pdf file of the slides, as well as any rendered videos which are to be shown in the workshop.
  2. source data-engineering-and-machine-learning-workshop.pptx source file for the slides.

• a README.md file, containing basic, high-level information about the lab.

• a source folder, containing:

  1. Code required in the workshop.
  2. Data needed for the workshop.
  3. a README.md file, explaining all of the contents of the source folder.