一些IT专业人士认为，重复数据删除和单实例存储（SIS）是一回事，但其实并非如此。
Some IT professionals think that deduplication and Single Instance Store (SIS) are the same thing, but they are not.
最后，你将会学习如何部署重复数据删除。
数据备份过程通常含有最高级别的重复数据删除。
Typically, data backup processes contain the highest levels of duplication.
无论是自动精简配置，还是重复数据删除，在未来都会有助于提高存储的效率。
Both thin provisioning and data de-duplication will help drive storage efficiency in the future.
重复数据删除在备份市场已经非常流行，但是因为某些因素其在主存储上的价值一直被质疑。
Deduplication has been very popular in the backup market, but its value in primary storage is questionable for several reasons.
第二种容量管理办法可近似地认为是通过重复数据删除或数据压缩来减少主存储磁盘上的数据。
The second capacity management approach to consider is reducing data on primary disk storage via data deduplication or data compression.
到那时，IT管理员和架构师必须设计出能够在效益最明显的地方使用重复数据删除的解决方案。
Until then, it administrators and architects will have to create solutions that utilize data deduplication where it is most beneficial.
由于重复数据删除，只有一个附件的实际存储实例，每个实例，只是后来引用回到一个保存的副本。
With data deduplication, only one instance of the attachment is actually stored; each subsequent instance is just referenced back to the one saved copy.
在主存储上使用重复数据删除也会有成效，但却不要期望可以达到像备份实施时典型的2.5倍到3倍的比例这样高的数据压缩比。
There are some gains to be had here, but don't expect the same data reduction ratios that you'll see in backup operations; 2.5X to 3X is typical.
云存储是磁盘、高性能磁盘或Tier - 1磁盘和重复数据删除的代名词。抱有这种想法的人很多，并还达到了一个惊人的数量。
A surprisingly high number of people believe that Cloud Storage is synonymous with disk, primarily performance disk, or Tier-1 disk, and deduplication.
如果用户上载了大量同样的文件，罗布森的MP3tunes系统会删除重复数据，罗布斯认为，因为这种技术实现的细节而断言他的公司违法将是非常荒谬的。
Robertson—whose MP3tunes service deletes redundant copies if multiple users upload the same file—claims it would be preposterous to hold his company liable over this implementation detail.
如果用户上载了大量同样的文件，罗布森的MP3tunes系统会删除重复数据，罗布斯认为，因为这种技术实现的细节而断言他的公司违法将是非常荒谬的。
Robertson—whose MP3tunes service deletes redundant copies if multiple users upload the same file—claims it would be preposterous to hold his company liable over this implementation detail.
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