Teradata provides a ready-to-run Docker image that builds on the jupyter/datascience-notebook image. It bundles the Teradata SQL kernel, Teradata Python and R libraries and drivers and Teradata extensions for Jupyter to make you productive while interacting with Teradata. The image also contains sample notebooks that demonstrate how to use the SQL kernel, extensions and Teradata libraries.
You can use this image in the following ways:
- Start a personal Jupyter Notebook server in a local Docker container
- Run JupyterLab servers for a team using JupyterHub
For instructions to start a personal JupyterLab server in a local Docker container, please see installation guide. This section will focus on how to use the Teradata Jupyter Docker image in a customer's existing JupyterHub environment.