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.
不过，这种分割方式会创建重复数据。
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.
重复数据分析过程。
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.
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.
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
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.
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.
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.
更好的方法是创建一个缓存策略，这样可以改善系统性能并最大限度降低重复数据请求对源系统造成的负面影响。
Instead, create a caching strategy to both improve system performance and minimize any negative impact on the performance of source systems caused by repeated requests for data.
在处理拥有大量空白或重复数据的大型文件时，ZIP是一种十分优秀方法，能够降低带宽负载或存储设备使用量。
ZIP is a great way to reduce bandwidth overhead or storage usage when handling large files that have a lot of white space or repeated data.
避免重复数据库服务器的工作：指示DB 2根据您的需要过滤和处理数据，而不是在应用程序中做这项工作。
Avoid duplicating the work of a database server: Instruct DB2 to filter and process data according to your needs rather than doing this work in your application.
在某些场景中，一个服务需要从多个信息源获得信息，这些信息源可能包含同名的重复数据元素，数据元素还可能有隐含的定义。
In some scenarios where a service requires information from several sources, there may be redundant data elements with the same name or an implied definition.
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.
通过对CALIS联合目录数据库中重复数据的分析，总结出重复数据的类型和产生重复数据的原因，并提出质量控制对策。
This paper analyses the current quality problems on the CALIS online cataloguing database, and puts forward measures for controlling the quality of the CALIS online cataloguing database.
有缺失数据两因素随机区组试验资料是两因素水平组合重复数不等的非平衡资料。
The data with missing values in two-factor experiment with randomized block design is the unbalanced data with unequal replications of level combination of two factors.
有缺失数据两因素随机区组试验资料是两因素水平组合重复数不等的非平衡资料。
The data with missing values in two-factor experiment with randomized block design is the unbalanced data with unequal replications of level combination of two factors.
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