Which solution meets these requirements?
Use the S3 sync command to compare the source S3 bucket and the destination S3 bucket. Determine which source files do not exist in the destination S3 bucket and which source files were modified.
Use AWS Transfer for FTPS to transfer the files from the on-premises storage to Amazon S3.
Use AWS DataSync to make an initial copy of the entire dataset. Schedule subsequent incremental transfers of changing data until the final cutover from on premises to AWS.
Use S3 Batch Operations to pull data periodically from the on-premises storage. Enable S3 Versioning on the S3 bucket to protect against accidental overwrites.
Explanations:
TheS3 synccommand is useful for synchronizing data between local and S3, but it doesn’t handle encryption, scheduling, monitoring, or data integrity validation as required by the question.
AWS Transfer for FTPS supports secure file transfer, but it does not offer automation for scheduling, monitoring, or data integrity validation. It is not the best fit for incremental transfers or large-scale data sync.
AWS DataSync is designed for transferring large amounts of data from on-premises storage to Amazon S3. It supports encryption, scheduling, monitoring, and data integrity validation, and is well-suited for both initial data transfer and incremental updates.
S3 Batch Operations is used for batch processing tasks in S3 (such as applying actions on large sets of objects). It is not designed for synchronizing or transferring data from on-premises storage to S3, nor does it support scheduling, encryption, or data integrity validation as required.
I figure that the answer is:
Use AWS DataSync to make an initial copy of the entire dataset. Schedule subsequent incremental transfers of changing data until the final cutover from on premises to AWS.
I arrange that the answer is:
Use AWS DataSync to make an initial copy of the entire dataset. Schedule subsequent incremental transfers of changing data until the final cutover from on premises to AWS.