This topic explains how environmental variables are propagated through an ML workspace.
Environmental variables help you customize engine environments, both globally and for individual projects/jobs. For example, if you need to configure a particular timezone for a project or increase the length of the session/job timeout windows, you can use environmental variables to do so. Environmental variables can also be used to assign variable names to secrets, such as passwords or authentication tokens, to avoid including these directly in the code.
For a list of the environmental variables you can configure and instructions on how to configure them, see Engine Environment Variables.