This is a classic big data problem because Yelp generates 100gb of log data every day.
这是一个典型的Big Data问题，因为Yelp每天生成100gb的日志数据。
This is a prototypical big data problem. It involves great volume, variety, and velocity of data.
这是典型的大数据问题，涉及到数据的数量、类型和速度等等。
That's how people can end up having problems because they think, Oh, we've got a really big data problem, when some kind of other tool would work better...
一些人最终就是这样陷于困境的，因为他们总认为自己碰到了一个真正的大数据问题，其实某种其他工具可能更加有效，但没有人愿意听别人说他们的数据其实并没有那么大。
For example, data replication and sync is a big problem.
例如，数据复制和同步就是一个大问题。
Google, by contrast, saw it as a big maths problem that could be solved with a lot of data and processing power-and came up with something very useful.
谷歌，相比之下，把这个问题看成是一个很大的、可通过大量数据和处理能力解决的数学问题——这样就创造出了一些非常有价值的东西。
Beyond that, the big problem is that primary storage has a much lower percentage of duplicate data than backup data.
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。
We are now at the point where the dimensionality and size of the data is a big problem. It makes things computationally very difficult to find these patterns we want to find.
他补充道，“在这里，数据的维数和容量是个大问题，要依靠计算来找到我们想要找寻的模式会变得极为困难。”
Focus group data that says, “Gee this antenna problem is a BIG DEAL” is much more convincing.
聚焦于问题所在，收集你的数据，然后说“啊，这个天线设计真是个大问题”会令人信服得多。
Big data and the big privacy problem.
海量数据与隐私大问题。
If the memory cache is used only for performance reasons, then storing data in memory cache might not be such a big problem.
如果只是由于性能方面的原因而使用内存缓存，则在内存缓存中存储数据可能不会是个大问题。
And that raises a problem which affects big data in all its forms.
这也像其它任何形式的大数据一样引发出同样的问题。
The quality of statistic data is the statistic's life, but the weakening of quality of statistic data has been a big problem for people to solve.
统计数据质量是统计的生命，而统计数据质量的弱化一直是人们难以解决的一大难题。
The problem with big data working with all of these variables is that it isolates these variables for us, like if we wanted to check by public filings or not.
使用大数据研究所有的这些变量所存在的问题就是，它会孤立这些变量，正如如果我想通过公众文件来进行核实。
The problem with big data working with all of these variables is that it isolates these variables for us, like if we wanted to check by public filings or not.
使用大数据研究所有的这些变量所存在的问题就是，它会孤立这些变量，正如如果我想通过公众文件来进行核实。
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