Managing Cloudera Data Engineering job resources using the CLI

A resource in Cloudera Data Engineering is a named collection of files or other resources referenced by a job. The files can include application code, configuration files, or any other arbitrary files required by a job. A resource can also be a Python virtual environment, or a custom Docker container image.

You can think of resources as any supporting files, libraries, or images that a Cloudera Data Engineering job requires to run. Resources can be created and deleted, and files can be added to and deleted from a resource as needed.

A resource can also be a Python virtual environment specification (as a requirements.txt file), or a custom Docker container image.

Before continuing, make sure that you have downloaded and configured the CLI client.