How can you ensure a sync is complete before executing a dataflow?

Using event-based scheduling ensures that a sync is complete before executing a dataflow by triggering the dataflow to run only after a specific event occurs, such as the successful completion of the sync. This method creates a seamless workflow, where the dependencies are clearly defined. When event-based triggers are set up, you can be confident that the data required for the dataflow has been synchronized and is ready for processing.

This approach is particularly effective in environments where multiple systems or processes rely on timely data updates. It reduces the risk of executing a dataflow with incomplete or stale data since the execution is contingent upon the successful completion of sync operations.

Other methods such as checking event history, conducting regular audits, or reviewing sync logs can provide insights into sync status but do not inherently guarantee that the data is ready for downstream processes like a dataflow. While useful in their own right, these methods are reactive rather than proactive and may not provide the assurance needed that a sync has fully completed before proceeding with the execution of an analytics strategy.