Configure individual triggers within each component (dataflow and notebook) to specify the execution schedule, leveraging Azure's native scheduling capabilities.

Assign a team member to manually execute the dataflow and notebook at the predetermined intervals, ensuring adherence to the schedule.

Develop a custom data pipeline that orchestrates the execution of both the dataflow and notebook, incorporating Azure Data Factory for scheduling and monitoring.

Integrate a third-party scheduling tool external to Azure to manage the execution schedule of the dataflow and notebook, bypassing Azure's native features.