Hi @VJ3, Certainly! Letโs delve into the details regarding Azure Databricks and how to manage notebook outputs and results.
Notebook Outputs and Results:
- When a cell is run in a notebook, it produces outputs such as tables, plots, or text results.
- By default, downloading results is enabled. Users can download cell results containing tabular output to their local machines.
- To toggle this setting, workspace administrators can manage the ability to download results from not....
- If you want to clear the notebook state and outputs, you can choose from the following options in the Run menu:
- Clear all cell outputs: Clears the cell outputs. Useful for sharing a notebook without including any results.
- Clear state: Clears the notebook state, including function and variable definitions, data, and imported libraries.
- Clear state and outputs: Clears both cell outputs and the notebook state.
- Clear state and run all: Clears the notebook state and starts a new run.
Sharing Sensitive Information:
- Privileged users should exercise caution when sharing notebooks with non-privileged users.
- If a privileged user runs a cell that contains sensitive information (e.g., credentials, proprietary data), the output of that cell will be visible to anyone with access to the notebook.
- To prevent accidental sharing of sensitive information, consider the following measures:
- Review Outputs: Privileged users should carefully review the outputs before sharing notebooks. Clear any sensitive results.
- Workspace Permissions: Ensure that non-privileged users have restricted access to sensitive notebooks.
- Collaboration Policies: Establish guidelines within your organization to prevent inadvertent sharing of sensitive data.
Code-Only Sharing:
- To ensure that users can only share code without notebook outputs or results:
- Educate users about the importance of reviewing and clearing outputs.
- Set up workspace permissions to restrict access to sensitive notebooks.
- Encourage users to follow best practices when sharing notebooks.
Remember that while Azure Databricks provides powerful collaboration features, responsible usage and security practices are essential to protect sensitive information.