It is recommended to name notebooks descriptively so that it is easy to understand their purpose and content. A good practice is to follow a consistent naming convention to help keep notebooks organized. These are some of general practices
- Use naming conventions that describe the notebook's function and contents. This can include the project name, dataset used, task name or category.
- Use dashes (-) or underscores (_) instead of spaces when separating words in the notebook name.
- Begin each notebook name with a prefix representing the notebook type or project name to easily identify related notebooks.
- Keep notebook names concise and limit them to 30 characters or less to ensure the name is fully visible in the Databricks workspace.
- Avoid special characters or symbols in notebook names.
