This will produce initial target data as result.
结果是产生原始的目标数据。
This stage represents your target data warehouse table.
此阶段代表您的目标数据仓库表。
It is further assumed that the target data model is defined.
并进一步假设已经定义了目标数据模型。
Is the data source of the same type as the target data type?
数据源的类型是否与目标数据类型相同？
Then use the methods shown to access and iterate over all the target data.
然后使用所展示的方法来访问并迭代所有目标数据。
There are lots of noise data in the raw data except the target data.
在原始测量获取的点云数据中，除了目标数据外，还有大量的噪声数据。
The data consolidation pattern does not require a specific target data model.
数据整合模式并不需要特定的目标数据模型。
Finally, this transformed information is then applied to a target data store.
最后，将经过转换的信息应用于目标数据存储。
External changes to the target data store are outside the scope of this pattern.
对目标数据存储进行外部更改超出了这种模式的范围。
Specifies the name of the target data column for the associated data column.
指定关联数据列的目标数据列名称。
The previous 2 sections have established an understanding of source and target data.
通过前2节内容已经能够理解源数据和目标数据。
The standard variance characteristic of target data is used to reduce false alarm rate.
算法同时利用目标方差特性以减少虚警率。
The standard variance characteristic of target data is used to reduce false alarm rate.
算法同时利用目标方差特性以减少虚警率。
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