Engines

Provides overview, installation, set up, configuration, and customization information for Cloudera Data Science Workbench engines.

Legacy Engines🔗

Provides an overview of engines and walks you through some of the ways you can customize engine environments to meet the requirements of your users and projects.

Engine Configuration🔗

Describes how to configure and manage engines in Cloudera Data Science Workbench.

Engine Dependencies🔗

Describes the availabile options for mounting a project's dependencies into its engine environment.

Environment Variables🔗

Provides a description of engine environment variables and how to use them to customize your experience with Workbench console.

Package Libraries🔗

Describes how to install and use additional libraries for specific project versions.

Extensible Engines🔗

Describes how to create and install customized engine images.

Engines Packaging🔗

Provides a list of packages included in the Python and R kernels of the base engine that ships with each release of Cloudera Data Science Workbench.