Using Teradata Vantage Modules for Jupyter Installation Guide
Teradata Vantage Modules for Jupyter allows you to:
- Access Vantage in Python, R, or SQL from JupyterLab notebooks
- Explore objects in a Vantage catalog
- Manage connections to Vantage
Why Would I Use this Content?
Use this guide to learn about the Vantage modules for Jupyter and know how you can install the modules on a client machine. If you get any error during installation, refer to the troubleshooting topics for resolution.
How Do I Use this Content?
This guide has the steps, commands, and configuration file (XML) examples to guide you in installing, upgrading, and configuring the Vantage modules for Jupyter.
How Do I Get Started?
Start with Teradata Vantage Modules for Jupyter to learn about the modules for Jupyter and the installation types. Refer to the respective topics for further requirements:
- Docker Installation: Instructions for installing Docker and starting Docker Container for JupyterLab.
- Manual Installation into JupyterLab: Instruction for installing Vantage modules for Jupyter manually.
- Upgrades: Instructions for upgrading Docker images, Kernel, and Extensions.
- Advanced Options: Using Kerberos in connecting to the Analytics Database and pre-defined connection configurations.
References to Other Relevant Content
- To learn about Teradata packages for Python, refer to:
- Teradata Package for Python User Guide, B700-4006
- Teradata Package for Python Function Reference, B700-4008
- To learn about Teradata packages for R, refer to:
- Teradata Package for R User Guide, B700-4005
- Teradata Package for R Function Reference, B700-4007