While AWS is incredibly reliable, it’s not perfect, which is also why you can download the data from Lifestream Backup.
即使亚马逊网络服务非常可信赖，它仍然不是完美的，这也是为什么你能从Lifestream Backup下载数据。
This protects from data loss, but it's not always perfect either.
这个选项能够避免数据损失，但它并不总是完美无缺。
The network call to get the current time is a perfect item to cache because your 10-second constraint means the data will not be changing for, at most, 10 seconds.
获得当前时间的网络调用是高速缓存的一个完美项，因为您的10秒约束意味着数据在至多10秒钟之内不会更改。
The data on effectiveness are not perfect, which is why we’re doing a controlled study. But they are substantial.
对手术来说，产生预期郊果的数据并不完美，这也是我们正在做对照研究的原因，但手术的价值是巨大的。
The results show up not only in recent pitch-perfect October days, but in the data that for years have presented a bleak picture of pollution here.
蔚兰的天空不只出现在在国庆期间。 与北京多年的历史数据相比，今年的北京，天空污染程度确实有了很大的改观。
Due to the complexity of real-world data relationships, it is not always possible for estimates to be perfect, but there are a number of tools and techniques available to improve them.
由于真实数据关系的复杂性，估计值不总是准确的，但是有许多工具和技术可以改进它们。
Though the fit between the data and the prediction is not perfect (an example is illustrated right), the match is close enough that Dr Johnson thinks he is onto something.
虽然实际数据和预测数据的吻合算不上完美(如图所示)，但吻合程度已经足够让Johnson博士认为自己有所发现。
Conclusion As clinic and epidemiology data, some index level were not established appropriate, it ought to perfect and modificate farther.
结论从临床和流行病学资料看，有些指标标准制定得不适宜，需要进一步完善和修改。
She drew her data from the United States Patent and Trademark Office (USPTO) -not a perfect indicator of inventiveness, but probably a fair proxy for it.
她从美国专利局和商标局(USPTO)获取并处理数据。USPTO虽然不是一个完美的发明的指标，但是可能是一个发明的公平的代理人。
At present, the clustering analysis about numeric valued data is quite mature, but the clustering analysis about categorical valued and mixed valued data is not perfect.
目前对于数值属性数据的聚类分析已经相当成熟，而对类属性和混合属性数据的聚类分析则并不十分完善。
At present, the clustering analysis about numeric valued data is quite mature, but the clustering analysis about categorical valued and mixed valued data is not perfect.
目前对于数值属性数据的聚类分析已经相当成熟，而对类属性和混合属性数据的聚类分析则并不十分完善。
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