Aurora PostgreSQL: Integrating into a Jupyter workflow

Aurora PostgreSQL 🤝 Jupyter

To set up one-click access to Aurora PostgreSQL and start integrating it into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Add Aurora PostgreSQL linked below.

To set up one-click access to Aurora PostgreSQL and start integrating it into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Add Aurora PostgreSQL linked below.

To get started collecting access and session logs with Aurora PostgreSQL from Jupyter, sign up for a free trial account on strongDM, then visit Add Aurora PostgreSQL linked below.

To get started connecting Aurora PostgreSQL and Jupyter, sign up for a free trial account on strongDM, then visit Add Aurora PostgreSQL linked below.

Add Aurora PostgreSQL

Aurora PostgreSQL documentation

Jupyter documentation

Aurora PostgreSQL

strongDM gives users 1-click access to Aurora PostgreSQL without the need for passwords, SSH keys, or IP addresses.

Aurora PostgreSQL is a fully-managed PostgreSQL-compatible relational database service offered by Amazon Web Services that aims to be affordable, fast and reliable.

Jupyter

The strongDM proxy fetches data from a variety of sources, so Jupyter users can collaborate on projects with no interruptions to workflow.

Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page.