A data analytics company has 80 global offices. Each office hosts 1 PB of data and has between 1 and 2 Gbps of internet bandwidth. The company must perform a one-time migration of large amounts of data from the offices to Amazon S3 and complete it within 4 weeks. Which solution will meet these requirements MOST cost-effectively?
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Correct answer: Use multiple AWS Snowball Edge storage-optimized devices to store and transfer the data to Amazon S3..
Why this is the answer
The correct answer is to use multiple AWS Snowball Edge storage-optimized devices. Each office has 1 PB of data, and with 80 offices, the total data is 80 PB. A Snowball Edge device can store up to 80 TB. To migrate 1 PB per office, approximately 13 Snowball Edge devices would be needed per office (1000 TB / 80 TB per device). This is a feasible and cost-effective solution for large-scale, one-time data migrations, especially with limited internet bandwidth. Establishing new 10 Gbps AWS Direct Connect connections for 80 global offices would be extremely expensive and time-consuming to set up, making it not cost-effective. An AWS Snowmobile is designed for petabyte-scale data (up to 100 PB per device) but is typically used for much larger single-site migrations (e.g., 100 PB from one location), not 80 separate 1 PB migrations. AWS Storage Gateway Volume Gateway is suitable for ongoing hybrid cloud storage and disaster recovery, but not for a one-time, large-scale migration of 80 PB across 80 distributed locations within a strict timeframe, especially given the bandwidth limitations.
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