Which solution will meet these requirements with the LEAST operational overhead?
Use AWS DataSync to move the data. Create a custom transformation job by using AWS Glue.
Order an AWS Snowcone device to move the data. Deploy the transformation application to the device.
Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation job by using AWS Glue.
Order an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute. Copy the data to the device. Create a new EC2 instance on AWS to run the transformation application.
Explanations:
AWS DataSync is a suitable tool for transferring data to AWS, but it requires available network bandwidth. Since the company has no available bandwidth, this option is not feasible. While AWS Glue can be used for transformation, it doesn’t address the immediate need for data transfer without bandwidth.
AWS Snowcone is designed for edge computing and data transfer, but it is limited in terms of storage capacity (8 TB). Given the requirement to transfer 50 TB of data, it would not be suitable. Additionally, deploying the transformation application to the device adds complexity and operational overhead.
Ordering an AWS Snowball Edge Storage Optimized device is a good approach for transferring large amounts of data (up to 80 TB). However, AWS Glue cannot be run on the device, which limits the ability to perform transformations during the transfer process. Therefore, it doesn’t fully meet the requirements for continuing the transformation job in the cloud.
Ordering an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute allows for both data transfer and the ability to run the transformation application on the device. This approach minimizes operational overhead by enabling the transformation job to continue while the data is being transferred to AWS.