Which type of automation should be set up to ensure the timely importation of large daily datasets?

The most suitable type of automation for ensuring the timely importation of large daily datasets is a scheduled import that starts after a specified time following file availability. This method allows for the import process to be planned and executed at predetermined intervals, which is particularly beneficial for handling large volumes of data.

Using a scheduled import ensures that the necessary time is allotted for the dataset to be fully available and potentially validated before the import process begins. This reduces the chances of errors that could arise from attempting to import incomplete data. Additionally, scheduling can optimize resource usage by allowing the import to occur at times when system demand is lower, thus ensuring a smoother and more efficient import process.

This method contrasts with other approaches, such as a triggered import that occurs immediately after file upload. While immediate triggers can be useful in some contexts, they may not allow enough time for the complete dataset to be prepared or validated, which can lead to issues with data integrity.

Manual imports are not ideal for daily operations, as they introduce variability and potential delays that can be avoided with a scheduled, automated process. Lastly, running multiple imports in succession for a single file may unnecessarily complicate the import process and is less efficient, especially when compared to a well-timed scheduled import that suits the regularity