The Databricks workspace offers several methods to schedule jobs:

• Cron: Utilize a flexible time-based expression (Cron expression) to specify the frequency and timing of job runs. This can range from hourly to more complex schedules.
• On-Demand Runs: Manual triggers by a user, either immediately or scheduled for a future time.
• File Notification from Cloud Object Storage: Triggers a job run upon the addition of new files or data to a specified cloud storage location, ideal for event-driven data processing pipelines.

Note: While 'Continuous' and 'Incremental' may appear in certain contexts, they are not standard scheduling methods in Databricks. Incremental processing refers to a data processing technique, not a scheduling method.