Cloudera Data Science Workbench supports using
local IDEs on your machine that allow remote execution and/or file sync over SSH, such as VS
Code. This topic describes the tasks you need to perform to configure Cloudera Data Science Workbench to act as a remote SSH interpreter for VS Code.
Once finished, you can use VS Code to edit and sync the changes to Cloudera Data Science Workbench. To perform actions such as deploying a model, use
the Cloudera Data Science Workbench web UI.Before you begin, ensure that the
following prerequisites are met:
- You have an edition of VS Code that supports SSH.
- You have an SSH public/private key pair for your local machine that is compatible with
VS Code.
- You have Contributor permissions for an existing Cloudera Data Science Workbench project. Alternatively, create a new project
you have access to.
