If there is missing or dirty data, how will you proceed?
如果有丢失的或脏数据,您将如何进行呢?
The "dirty data" for the example includes 40% suspect duplicates.
本例的“脏数据”包含40%的可疑副本。
It is not equivalent to fsync — it's not a request to sync dirty data.
它并不等于fsync函数——也不是请求同步脏数据。
This is why there is less overhead for dirty data as compared to clean data.
这就是与干净数据相比,“脏数据” 的开销更小的原因所在。
Beyond the issues above are the ever present problems associated with "dirty data".
除了上述问题之外,与“脏数据”相关的问题也总是存在。
If there is any missing data or dirty data, can your customer correct this in the data sources?
如果有丢失数据或脏(dirty)数据,您的客户是否可以在数据源中进行纠正呢?
A model for dirty data identification and justification is put forward based on the modified ART2 network.
文中提出了基于改进ART2网络的脏数据辨识与调整模型。
The process of dirty data processing is the recognition process of load curve pattern containing dirty data.
脏数据处理的过程就是对于含有脏数据的负荷曲线模式的辨识过程。
The cache contains dirty data, but some virtual disks are missing or will go offline, so the cached data can not be written to disk.
高速缓存中包含脏数据,但由于某些虚拟磁盘丢失或将转为脱机,因此无法将高速缓存的数据写入磁盘。
Some "Dirty data" will appear in labor market information system after some time. It affects data accuracy and quality of system services.
随着时间的推移,劳动力市场信息系统产生了大量的“脏数据”,降低了数据准确性和系统服务的质量。
Some "Dirty data" will appear in labor market information system after some time. It affects data accuracy and quality of system services.
随着时间的推移,劳动力市场信息系统产生了大量的“脏数据”,降低了数据准确性和系统服务的质量。
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