A systems administrator manages a file server with a 10 TB volume used by the creative department. The volume stores large design files, video assets, and numerous revisions of the same project files. The volume is nearly full, and an analysis shows a high degree of redundant data across multiple directories. The administrator needs to recover a significant amount of storage space on the volume with minimal disruption to users who access the files. Which of the following storage features should the administrator implement?
The correct answer is Data Deduplication. Data deduplication is a feature that saves storage space by identifying and removing duplicate blocks of data on a volume. Instead of storing multiple copies of the same data block, deduplication stores a single copy and replaces all other instances with a pointer to that copy. This is highly effective in environments with redundant data, such as file shares with multiple versions of documents, VDI deployments, and backup targets. Given the scenario of a file server with many revisions of the same files, deduplication will yield significant space savings.
NTFS compression works on a per-file basis rather than across all files on a volume, making it less effective at eliminating redundancy between different files.
Disk quotas are used to limit the amount of space a user can consume but do not reclaim space from existing redundant data.
Thin provisioning is a storage allocation method that provides virtual disk space on an as-needed basis from a storage pool; it does not optimize or reclaim space from data that has already been written to the volume.
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What exactly is data deduplication, and how does it work?
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How is data deduplication different from NTFS compression?
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Are there any limitations or requirements for using data deduplication?