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An enterprise needs to migrate 300 TB of historical backup files from an on-premises datacenter to a Google Cloud Storage bucket. The datacenter has a constrained and unreliable outbound internet connection of only 20 Mbps, and the migration must be finished within two weeks.
Which Google Cloud data transfer solution should the enterprise choose?
Use BigQuery Data Transfer Service to load the files directly into BigQuery analytics tables.
Use Storage Transfer Service to execute an automated online transfer job directly over the public internet.
Use the Google Cloud CLI (gcloud storage rsync) to synchronize files directly from the local server to Cloud Storage.
Order a Google Cloud Transfer Appliance, copy the data locally over the internal network, and ship it back to Google Cloud.
Use BigQuery Data Transfer Service to load the files directly into BigQuery analytics tables.
Use Storage Transfer Service to execute an automated online transfer job directly over the public internet.
Use the Google Cloud CLI (gcloud storage rsync) to synchronize files directly from the local server to Cloud Storage.
Order a Google Cloud Transfer Appliance, copy the data locally over the internal network, and ship it back to Google Cloud.
Transfer Appliance is a high-capacity, ruggedized physical storage server that Google ships directly to a customer's datacenter. Customers mount the appliance on their local high-speed network (via NFS, CIFS/SMB), copy their large data volumes locally onto the encrypted device, and ship it back to a Google upload facility to be ingested directly into Cloud Storage.
When calculating data migration feasibility, offline physical transport becomes significantly faster and more reliable than online network-based transfer when dealing with large data sizes (typically >20 TB) coupled with constrained or unreliable network bandwidth.