Several data scientists share notebooks. What matters most?
Why C is the answer
Collaboration and security best practices
Shared notebooks need good collaboration habits and security practices.
In detail
- Shared notebooks need collaboration and security practices.
- Avoid secrets in notebook cells.
Use case
An illustrative scenario, not a real incident.
A team shares notebooks with access controls, and keeps them in version control.
See it in different ways
mindmap
root((ML data))
Processing
Dataflow
Features
Feature Store
Prototyping
Workbench
Colab Enterprise
Tracking
Experiments
ML Metadata lineagemindmap
root(("Shared notebooks"))
n1["Collaboration"]
n2["Version control"]
n3["Security"]
n4["Access controls"]Key point: Shared notebooks need collaboration and security.
Why the other options are wrong
- A. Keeping all of the work on one personal login
- One login removes accountability.
- B. Sharing service account keys in the notebook
- Keys in notebooks can leak.
- D. The notebook's machine type
- Machine type is not the main concern.