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A media analytics firm needs to upload large multi-gigabyte video datasets from on-premises servers to a Google Cloud Storage bucket as quickly as possible. The network connection has high available bandwidth, but individual single-stream transfers fail to saturate the link.
The team wants to optimize transfer performance using the gcloud storage CLI by splitting individual large files into chunks and uploading them concurrently. Downstream Python-based processing services will download these files and perform automated data integrity verification.
Which configuration and validation approach should the team implement?
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