Product Documentation for Red Hat OpenShift Data Science 1
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Product documentation for Red Hat OpenShift Data Science self-managed
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Welcome
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Release notes
Features, enhancements, resolved issues, and known issues associated with this release -
Introduction to Red Hat OpenShift Data Science
OpenShift Data Science is a platform for data scientists and developers of artificial intelligence and machine learning applications -
Service definition
A complete overview of the features and limitations of the product -
Product life cycle
Understand the product life cycle to plan deployments and support applications using the product -
Provide feedback on Red Hat documentation
Let Red Hat know how we can make our documentation better.
Documentation for Data Scientists
Step-by-step guidance for data scientists on how to work in OpenShift Data Science.
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Getting started with Red Hat OpenShift Data Science
Learn how to work in an OpenShift Data Science environment -
Working on data science projects
Create and collaborate on projects in your OpenShift Data Science notebook environment -
Integrating data from Amazon S3
Use data stored in an Amazon Web Services (AWS) Simple Storage Service (S3) bucket -
Developing a data model
Understand the development and deployment workflow and deploy your data models in intelligent applications
Documentation for IT Operations administrators
Important guidance on installing and maintaining OpenShift Data Science for IT Operations administrators.
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Supported configurations
Supported software platforms and architecture -
Usage data collection notice
Understand the data Red Hat collects about your cluster usage. -
Installing OpenShift Data Science
Use Red Hat OpenShift Cluster Manager to install Red Hat OpenShift Data Science as an Add-on to your OpenShift Dedicated cluster -
Upgrading OpenShift Data Science
Learn how to upgrade Red Hat OpenShift Data Science on OpenShift Dedicated -
Managing users and user resources
Learn to manage user permissions and environments in Red Hat OpenShift Data Science