Maintain all notebooks in a single folder with descriptive naming conventions to differentiate tasks, despite the potential increase in volume.

Create a hierarchical folder structure within the workspace, segregating notebooks into separate folders based on their task (e.g., ingestion, processing, ML training) and further organizing them by functionality or team.

Distribute notebooks across multiple Databricks workspaces according to their task, utilizing Databricks Repos for version control and access management.

Develop a custom web application to host all notebooks, using the application's navigation to switch between tasks, thereby centralizing access.