Using these data sets, we can get the work items and their structures.
使用这些数据集，我们可以得到工作项目和它们的结构。
A query to select all data sets is executed.
执行了选择所有数据集的查询。
All remote data sets are cataloged as nicknames.
所有远程数据集都按昵称(nickname)归类。
Creating data sets to retrieve other information.
创建数据集以获取其他的信息。
The above image illustrates participating data sets.
以上图片演示了参与该计划的数据集。
The larger the data sets, the longer the process takes.
数据集越大，过程花费的时间越长。
Support multiple output links using different data sets.
支持使用不同数据集的多个输出链接。
BIRT reports obtain data from data sources and data sets.
BIRT报表从数据源和数据集中获取数据。
Almost all data sets contain irregularities and anomalies.
几乎所有的数据集都包含不规则和异常的数据。
Select the default directory for the data sets, and select Next.
选择数据集的默认目录并选择Next。
Each node can transfer data sets simultaneously to every other node.
每个节点可以同步地将数据集传输到其他节点。
Using XML to extract useful information from semi-structured data sets.
使用XML从半结构化数据集中抽取有用信息。
QA Mapper also maintains data in terms of data sets that may be reused.
QAMapper还根据可能复用的数据集对数据进行维护。
Such rules can be discovered efficiently from even very large data sets.
这类规则甚至能够从大型数据集中被有效发掘出来。
This regression model is easy to use and can be used for myriad data sets.
这个回归模型很容易使用，并且可以用于很多数据集。
Initial vector-space creation times can be long, especially for large data sets.
初始向量空间的创建时间可能很长，尤其对于大型数据集来说更是如此。
But when data sets get to the petabyte scale, the old way simply isn't feasible.
但当数据集达到PB级别的时候，老方法就不那么可行了。
The data sets we have created to get work item information are shown in Figure 7.
我们用于获得工作项信息而创建的数据集如图7所示。
This feature is very useful when combining data sets from different data sources.
当从不同的数据源中整合数据集时该特性的作用就显得尤为明显。
These data sets included documents of various sizes that ranged from 2KB to 100MB.
这些数据集包含从2KB到 100MB的各种大小的文档。
Keep it in mind, though, that Hadoop is capable of handling much larger data sets.
记住，Hadoop有能力处理更大的数据集。
For some report parameters, we will need to create data sets to get the relevant data.
对于一些报表参数，我们需要创建数据集来得到相关的数据。
One area that is ripe for parallelization is sorting and searching in large data sets.
一个成熟的并行领域就是大数据集中的排序和搜索。
These data sets are created separately so that they may be reused in various test cases.
这些数据集是分别创建的，以便可以在各种测试用例中复用它们。
Each of these data sets has specific values, and most of those have their own structures.
其中每种数据集都具有特定的值，绝大多数都有着自己的结构。
His Lehman report was a mammoth task involving e-mails, reports, data sets and interviews.
撰写雷曼报告是一项任务量巨大的工作，涉及电子邮件、报告、数据库和面谈。
The data sets all grant access to their knowledge bases and link to items of other data sets.
这些数据集内的知识库都可以被访问，并和其它数据集的内容连接在一起。
This Eclipse view allows the designer to add data sources and data sets to the report design.
Eclipse视图允许设计者向报表设计器中添加数据源和数据集。
When all the data sets are created, they must be added to the project before they can be used.
创建了所有数据集后，必须将它们添加到项目中才能使用。
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