Amazon Web Services is making it possible to access data stored in its S3 cloud storage service as a traditional file system, bridging a divide between two types of storage that has frustrated developers and data scientists for nearly two decades.
The new capability, called Amazon S3 Files, lets applications running on AWS access an S3 storage bucket as if it were a local file system, reading and writing data using standard file operations rather than specialized cloud storage commands.
In practice, this means a machine learning team can run a training job directly against data in S3 without first copying it to a separate file system. Or, perhaps more importantly these days, an AI agent can read and write files in S3 using the same basic tools it…
