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Data deduplication


Data deduplication -- often called intelligent compression or single-instance storage -- is a process that eliminates redundant copies of data and reduces storage overhead. Data deduplication techniques ensure that only one unique instance of data is retained on storage media, such as disk, flash or tape. Redundant data blocks are replaced with a pointer to the unique data copy. In that way, data deduplication closely aligns with incremental backup, which copies only the data that has changed since the previous backup.
For example, a typical email system might contain 100 instances of the same 1 megabyte (MB) file attachment. If the email platform is backed up or archived, all 100 instances are saved, requiring 100 MB of storage space. With data deduplication, only one instance of the attachment is stored; each subsequent instance is referenced back to the one saved copy. In this example, a 100 MB storage demand drops to 1 MB.

Target vs. source deduplication

Data deduplication can occur at the source or target level.
Source-based dedupe removes redundant blocks before transmitting data to a backup target at the client or server level. There is no additional hardware required. Deduplicating at the source reduces bandwidth and storage use.
In target-based dedupe, backups are transmitted across a network to disk-based hardware in a remote location. Using deduplication targets increases costs, although it generally provides a performance advantage compared to source dedupe, particularly for petabyte-scale data sets.

Techniques to deduplicate data

There are two main methods used to deduplicate redundant data: inline and post-processing deduplication. Your backup environment will dictate which method you use.
Inline deduplication analyzes data as it is ingested in a backup system. Redundancies are removed as the data is written to backup storage. Inline dedupe requires less backup storage, but can cause bottlenecks. Storage array vendors recommend that their inline data deduplication tools be turned off for high-performance primary storage.
Post-processing dedupe is an asynchronous backup process that removes redundant data after it is written to storage. Duplicate data is removed and replaced with a pointer to the first iteration of the block. The post-processing approach gives users the flexibility to dedupe specific workloads and to quickly recover the most recent backup without hydration. The trade-off is a larger backup storage capacity than is required with inline deduplication.


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