A project team needs to store a large collection of unstructured data that is read from multiple remote offices. The files do not change once they are uploaded, but they must remain available on demand. Which setup meets these requirements?
Adopt an object-based system for remote access to file data
Store data on local block devices for all content
Use ephemeral volumes that are tied to each running instance
Set up a shared file mount that spans all compute nodes
An object-based solution is useful for large unstructured data that is read frequently but not modified. Ephemeral storage does not stay persistent once the instance is removed, making it unsuitable for long-term storage. Local block volumes are often used for applications that modify data regularly. A shared file system can handle collaboration but might not be as scalable or cost-effective for large unstructured data that is not updated.
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What is unstructured data in cloud storage?
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Why is object storage suitable for unstructured data?
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What is the difference between block storage and object storage?