极大型数据库?。
What's so hard about very large data?
超大型的数据会引起什么问题？
Such rules can be discovered efficiently from even very large data sets.
这类规则甚至能够从大型数据集中被有效发掘出来。
These applications typically have a very large data set and display a high information density per screen.
这些应用程序通常具有非常大的数据集，并且每屏显示的信息密度非常高。
For very large data sets, a scalable recommendation algorithm must perform the most expensive calculations offline.
对于非常大的数据集，一个可扩展的推荐算法必须离线运行最昂贵的计算。
Your company, an ISP, has a very large data center with roughly 4000 + systems all monitored by a Network Operations center.
您的公司，作为一家ISP，拥有非常庞大的数据中心，大约4000多个系统都由一个网络运营中心(Net work Operations Center)监控。
Data generators are used to populate tables with random test data, which is especially helpful when very large datasets are needed.
数据生成器使用随机的测试数据来填充数据表，当需要大量数据集的时候这个功能特别有用。
In context of very large data sets it may become relevant to split the evaluation work among several team member or actual users of the tool.
在非常大型的数据集情况下，可以将评价工作分配给若干团队成员或者工具的实际使用者。
Intel wants to make its chips work with the KVM technology stack "at scale", meaning they're drive servers across very large data centers.
英特尔希望其制造的芯片与“大规模”的KVM技术系列协同工作，这意味着促使服务器可以跨超大规模的数据中心运行。
As noted in this article, a number of challenges are involved in effectively mining the data contained in these very large data repositories.
正如本文所指出的，有效地挖掘包含在这些超大型数据存储库中的数据涉及到许多挑战。
For scalability reasons, such as allowing for very large data sets, or simply for resilience, you might want to distribute the data across many JVMs.
出于可伸缩性方面的原因(如允许非常大的数据集)，或仅仅因为弹性，您可能希望让数据分布在多个JVM上。
Data sourcing and transfer of very large data extracts could use data services as well although traditionally those areas use ETL and data profiling tools.
数据供给和大数据提取的转换也能够使用数据服务，尽管这些领域一般会使用ETL和数据profiling工具。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
In many applications it is necessary to perform analysis of very large data sets. The data are often large, geographically distributed and its complexity is increasing.
在许多应用中，需要对大量的数据集进行分析，而这些数据通常是地理上分布的大规模的数据，并且复杂度不断在增加。
However, when dealing with very large data sets, you can further improve the query response times of a native XML database by following a few general common sense guidelines.
但是，在处理超大型数据集时，您还可以通过遵循以下一般原则进一步改善原生xml数据库的查询响应时间。
The value-add is the ability to chunk up data and store them in a grid, with varying degrees of redundancy, which allows for processing of very large data sets entirely in memory.
另外还有一些新的功能，用于将数据区块化存储到网格中，使用不同级别的冗余，以及在内存中处理超大型的数据集。
Even so, for very large data sets - such as 10 million or more customers and 1 million or more catalog items - the algorithm encounters severe performance and scaling issues.
尽管如此，对非常大的数据集来说——比如1千万以上的顾客，以及1百万以上登记在册的商品——算法也会遭受严峻的性能和计算量问题。
For instance, suppose each test in the class USES a database connection, a network connection, a very large data structure, or some other resource that's expensive to initialize or dispose of.
例如，假设类中的每个测试都使用一个数据库连接、一个网络连接、一个非常大的数据结构，或者还有一些对于初始化和事情安排来说比较昂贵的其他资源。
It's just very time consuming to get such a large quantity of data.
要收集这么多的数据就是非常耗时。
Modern computers can organize large amounts of data very quickly.
现代计算机能迅速处理大量的信息资料。
National data masks the very large variation in the performance of individual universities.
全国的数据掩盖了个别大学表现的巨大差异。
If your application deals with very large XML documents, it can be beneficial to use LOB locators for data retrieval.
如果应用程序要处理非常大的XML文档，那么可以将LOB定位符用于数据检索。
Data models quickly become very large with many entities and relationships.
数据模型很快就会变得非常庞大，包含很多实体和关系。
For each supported action, devise all the wrong ways to fill it in, such as blank, very large strings, ill-formatted data, or accented or unusual characters.
对于每个受支持的操作，设计所有错误的填充方法，例如空格、很长的字符串、格式错误的数据、重音字符或不常见的字符。
Time zone is the second factor in the localization of data, simply because some locales span very large geographic regions.
时区是数据本地化中的第二个因素，这仅仅是因为一些语言环境分布的地理区域很广。
Green shows optical data from the Hubble Space Telescope, and blue at the galaxy's core represents radio data from the Very Large Array in New Mexico.
绿色部分则是来自于哈勃太空望远镜的光学数据；位于墨西哥的甚大阵射电望远镜接受的无线电数据则贡献了星系中心的蓝色部分。
Customizing QueryStore and TreeGrid can solve the problem of Dojo currently not supporting large data very well.
定制QueryStore和TreeGrid可以解决目前Dojo不能很好地支持大数据这一问题。
The database deployments typically aren't very large in terms of data or challenging in terms of performance.
一般来说只在数据量不是非常大或性能压力不大的情况下才部署NoSQL数据库。
XQuery was designed for extracting data from potentially very large XML datasets.
XQuery的设计目标是从可能非常大的XML数据集中提取数据。
XQuery was designed for extracting data from potentially very large XML datasets.
XQuery的设计目标是从可能非常大的XML数据集中提取数据。
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