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.
我们还可以重复数据对象的属性。
不过,这种分割方式会创建重复数据。
锁定或交易,防止重复数据?
此行为使一些重复数据块和更有效率。
This behavior makes block and bit deduplication far more efficient.
另外,读者可能会对书中大量的重复数据感到厌烦。
Moreover, the reader may weary of so many repetitive statistics.
最后,你将会学习如何部署重复数据删除。
重复数据分析过程。
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.
实现方法是创建一个压缩的符号字典,取代行级重复数据模式。
It does this by creating a compression dictionary of symbols which replace repeating data patterns at the row level.
重复数据库中的所有图像,并配以最小的结果获胜。
Repeat for all images in the database, and the match with the smallest result wins.
本文给出了一种等重复数据情形下的非等距正交多项式回归模型。
In this paper, an orthogonal polynomial repression model of non-equidistant points for equal-replicate data was proposed.
能够实时地防止重复数据,避免昂贵的手工清理,从而降低操作成本
The ability to prevent duplicates in real-time, thus reducing operational costs by avoiding pricey, manual cleanup
第二个问题是避免过度使用数据库或计算性资源,防止生成重复数据。
The second problem was avoiding excessive use of database or computational resources in generating duplicate data.
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.
除此之外,最大的问题是,主存储上重复数据所占的比例要比备份数据要低得多。
Beyond that, the big problem is that primary storage has a much lower percentage of duplicate data than backup data.
经过长期的检索实践发现,CALIS书目数据库大致有21种重复数据类型。
After a long time of retrieval practice, CALIS union catalog database generally has 21 kinds of duplicate data types.
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.
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.
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