Which solution meets these requirements?
Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.
Schedule AWS Snowball Edge Storage Optimized device jobs daily to transfer data from each site to the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket.
Upload the data from each site to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. At regular intervals, take an EBS snapshot and copy it to the Region that contains the destination S3 bucket. Restore the EBS volume in that Region.
Explanations:
S3 Transfer Acceleration speeds up data transfers to S3 by routing through Amazon’s edge locations, making it suitable for aggregating large data volumes quickly while minimizing operational complexity. Multipart uploads help handle large files efficiently.
Uploading to the closest Region and using S3 Cross-Region Replication adds latency and operational complexity, as data must be copied from multiple locations to the final destination, which is not the fastest or simplest solution.
While Snowball Edge can handle large data transfers, using it daily is impractical and introduces complexity. S3 Cross-Region Replication would further complicate the data flow, making this option inefficient for rapid aggregation.
This approach involves unnecessary complexity by introducing an EC2 instance and EBS snapshots, which would increase operational overhead and delay data aggregation, making it less effective for the stated requirements.
I evaluate that the answer is:
Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.