给合适的计算机一个庞大的人脸数据库，它就可以以惊人的速度和精度处理看到的东西，然后按照指示识别人脸。
Give the right computer a massive database of faces, and it can process what it sees—then recognize a face it's told to find—with remarkable speed and precision.
但是庞大数据还会产生远比这更为严重的后果。
But big data can have far more serious consequences than that.
您可能见到过大整数质因数分解，或是对复杂数据结构的庞大列表进行分类，这些都是长时间运行的操作。
You might see examples of prime factorizations of large integers, or sorting huge lists of complex data structures, and those are certainly long running operations.
每当你加入一个有关气体和电场的复杂因子，数据集都会变得异常庞大并且需要大量的并行超级运算。
Once you add in the complicating factors of gas and electromagnetic fields, the data sets become dauntingly huge and require massive parallel supercomputing.
遗憾的是，当业务流程非常庞大和复杂时，或者需要一组输入数据集时，该过程可能会失败。
Unfortunately, when a business process is huge and complex, or in certain constellations of input data, the process may fail, anyway.
绝大多数医疗组织都有一个庞大的包含冗余处理和数据的系统集合。
Most healthcare organizations have a large portfolio of systems with redundant processing and data.
如果你把所有这些数字汇合起来，很快就得出很庞大的数据。
If you put all these Numbers together, the total gets very large very fast.
如此庞大的数据量甚至超过了现代超级计算机的运算能力。数学家小组被迫改变思路使问题易于处理。
Processing such a vast quantity of data wasbeyond the capacity of even modern supercomputers, so the team were forced totinker with the problem to make it tractable.
亚马逊网络服务系统将其庞大数据中心的计算能力出租给客户，赢的了物美价廉的声誉。
Amazon Web Services (AWS), which rents computing capacity inits giant data centres to customers, has also won a reputation for being cheap.
XML数据通常被深度嵌套并且可以非常庞大。
数据模型很快就会变得非常庞大，包含很多实体和关系。
Data models quickly become very large with many entities and relationships.
他们收集庞大的数据，再详细分析，以此了解人们的社会关系、倾向和需求。
His crew gathered huge volumes of data, pored over it, and learned much about people's relationships, tendencies, and desires.
报告的内容有时会过于庞大，特别是当您有很多数据的时候。
The content of a report can be overwhelming, especially when you have a lot of data.
这是由庞大数据引发的第一次危机——今后还会有更多。
This was the first crisis to be sparked by big data-and there will be more.
这是因为，LOB这样的XML文档体积庞大，无法放到表数据页面的单个行中。
This is because XML documents, like LOBs, can be too large to fit within a single row on a data page of the table.
DW的庞大规模也使得更改已有的物理DB设计比较困难，因为这意味着要移动大量的数据（使用导出和导入）。
The size of DWs also makes it more difficult to change existing physical DB design when that means moving lots of data (using export and import).
数量庞大的数据通常必须经过概括或删减的程序才能为人所理解。
Large masses of data must generally undergo a process of summarization or reduction before they are comprehensible.
当然，处理如此空前庞大的数据的关键是更为强大、承载能力更强的计算机。
Key to handling such unprecedented torrents of data, of course, have been ever more powerful and more affordable computers.
数据变得越来越庞大，复杂性也在增加。
由于分散的数据数量庞大，因此及时定位特定信息块可能会成为严峻的挑战。
With mounting quantities of data lying scattered, the challenge of locating certain pieces of information in a timely manner can be a scaling issue.
原因之一是网络的庞大数据量。
该产品可以帮助 DBA更加轻松地处理非常庞大的数据，并且可以更快地获得结果。
This product can help DBAs work with very large quantities of data with less effort and with faster results. It can
在庞大数据的世界中，相关数据几乎是自行浮出水面。
In a world of big data the correlations surface almost by themselves.
毕竟，字典是字典编纂者编写的有关词汇用法和意义的庞大的数据库。
Dictionaries are, after all, giant databases of words compiled by lexicographers who investigate word usages and meanings.
从涵盖了美国60%的住宅抵押市场庞大的数据库背景里，经济学家查看了一份抵押贷款案例。
The economists looked at a sample of mortgages in a huge data set that covers 60% of America's residential-mortgage market.
它将问题分解开来，转变成离散的数据位，然后在它庞大的数据库中搜索与所处理的数据位在统计上频率最高的重合。
It decomposes the question put to it into discrete bits of data and then searches its vast data base for statistically frequent combinations of the bits it is working with.
私有云是一种可以处理各种信息和数据的庞大数据中心。
Private clouds are huge datacenters possessing information and data of all types.
一方面，有丰富的信息可供分析利用。而另一方面，如此丰富的数据带来了学习与研究庞大数据量的成本。
On one hand, they have a wealth of information at their analytic disposal; on the other, that wealth incurs the cost of learning to cope with the sheer volume.
同时他们也提供了庞大的类别数据库，便于你进行分类。
You can also search their large database of channels, which are conveniently categorised for you.
同时他们也提供了庞大的类别数据库，便于你进行分类。
You can also search their large database of channels, which are conveniently categorised for you.
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