Conveyor notebooks for data exploration
When starting a new project or working on a new feature, it is often beneficial to test certain assumptions and explore your data in an interactive environment.
To cater to this need, Conveyor provides a notebook feature. This feature not only supports data exploration, but also aids in debugging existing code in an environment that is similar to your production environment.
The Conveyor notebook feature sets up a container that runs either JupyterLab or Jupyter Server within the specified Conveyor environment, with the same permissions as other jobs in your project. This means that your notebooks can use the same IAM role for data access as other jobs in your project.
📄️ Using notebooks from the Web UI
Getting starting with the classical notebook experience
📄️ Connecting to notebooks from your local IDE
Connecting notebooks to your local IDE