Structured versus unstructured data.
结构化和非结构化数据。
Information can be both structured and unstructured data.
信息可以为结构化和非结构化数据。
In both of the above scenarios, text is the main type of unstructured data.
在这两个场景中，非结构化数据的主要类型是文本。
What they're trying to do is look at all the structured and unstructured data.
我们的研究方向是观察一切结构化以及非结构化的数据。
At the same time, XML is also capable of describing structured and unstructured data.
同时，XML也能够描述结构化和非结构化数据。
This allows the data service to combine structured data with semi - or unstructured data.
这让数据服务可以将结构化的数据和半(或非)结构化的数据组合起来。
Adding information from unstructured data could enhance these predictive models significantly.
添加来自非结构化数据的信息可以显著增强这些预测模型。
Getting the right view into unstructured data from heterogeneous sources can be quite tricky.
把来自异质数据源的适当视图转变为非结构数据是非常复杂的。
DB2 text search enables full-text search on structured and unstructured data stored in a DB2 database.
DB 2文本搜索能够对存储在DB 2数据库中的结构化和非结构化数据进行全文搜索。
And what do you do if the amount of structured, semi-structured, and unstructured data is roughly equal?
另外，如果结构化、半结构化和非结构化数据的数量大体相当，那么怎么办呢？
Indexing large amounts of unstructured data is a difficult task regardless of the technologies involved.
不管使用什么技术，索引大量非结构化数据是一件很艰难的任务。
For more on structured versus unstructured data read a synopsis by the father of data warehousing, Bill Inmon.
更多的结构化和非结构化数据可以比尔恩门所著的《参考数据库之父》的摘要。
Managing large quantities of structured and unstructured data is a primary function of information systems.
管理大量的结构的和非结构数据是信息系统的的初级功能。
Figure 6 shows Hadoop used for historical data analysis to provide analytics on structured and unstructured data.
图6显示了如何使用Hadoop来分析数据，以提供关于结构化和非结构化数据的分析。
If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured data.
如果您有一个能够存储半结构化数据的解决方案，那么也能用它存储结构化和非结构化数据。
FileTable is meant for storing and managing unstructured data in SQL Server, while also making it accessible via the file system.
FileTable的目的是要在SQLServer中存储和管理非结构化数据，并让我们可以通过文件系统访问这些数据。
Thanks to the cloud and Hadoop, it is now possible to handle large amounts of structured or unstructured data in a timely manner.
由于云和Hadoop的出现，及时处理大量的结构化或非结构化数据目前已成为可能。
The challenge is to make this context useful, both from a social networking perspective and from an unstructured data perspective.
具有挑战性的是如何使该环境无论从社交网络的角度还是非结构化数据的角度都能为人所用。
In addition, much of unstructured data such as documents, images, or audio could not be easily addressed within this scenario.
此外，诸如文档、图像或音频等许多非架构化的数据可能不容易在此场景中进行处理。
However, use this feature with unstructured data in a pass-though scenario because it is not going to be put into business objects.
但是，此功能只适用于通过场景中的非结构化数据，因为这些数据不会转换为业务对象。
Unstructured data can improve the quality of existing BI analytics, or in some cases, it can be the key enabler for new types of insight.
非结构化数据可以改进现有的BI分析的质量，在某些情况下还有助于实现新的信息探查类型。
Hadoop is an Apache Software Foundation project that consists of a set of tools for storing and processing large amounts of unstructured data.
Hadoop是一个Apache软件基金会项目，包含一系列用于存储和处理大量非结构化数据的工具集。
Some of the value of different analytics products is their ability to process large amounts of unstructured data to discover the latent meaning.
不同分析产品的一些价值在于它们处理大量非结构化数据以发现隐藏含义的能力。
"A lot of people don't really think of unstructured data-such as video, audio, and images-as holding important information, but it does," Deutsch says.
“许多人没有真正意识到非结构化数据(比如视频、音频和图像)蕴含着重要信息，但它们确实包含重要信息，”Deutsch说。
Was busy as ever - e.g. a new product called Salesforce ContentExchange, a content management product for unstructured data such as email and HTML.
是忙碌的，例如它推出了名叫SalesforceContentExchange的新产品，它是一个像电子邮件和和它们这样的非结构数据的内容管理产品。
There are two types of data, one is unstructured data, such as documents and pictures, and the other is structured data, such as data in the database.
数据类型分两种，一种是非结构化数据，比如文档和图片，另一种是结构化数据，比如数据库中的数据。
XML functionality within the DB2 engine—in both DB2 9.7 for LUW and coming soon in DB2 10 for z/OS— provides great support for all types of unstructured data.
DB2引擎中的XML功能 — 目前在 DB2 9.7forLUW 中提供，不久之后会出现在 DB210for z/OS 中 —为所有类型的非结构化数据提供强大的支持。
An enterprise search system provides extensive capabilities for searching any number of structured and unstructured data sources with a single point of access.
企业搜索系统为搜索任意数量的结构化和非结构化数据源提供广泛的功能，而且只要求单点访问。
This product can also be combined with the following two products to aggregate structured, unstructured data and the valuable assets from the mainframe platforms.
此产品还可以与以下两个产品组合使用，以聚合结构化、非结构化数据以及来自大型机平台的宝贵资产。
With the explosive growth of unstructured data, technology is required to provide analytics on relational, non-relational, structured, and unstructured data sources.
随着非结构化数据的爆炸性增长，要求提供能够同时对关系、非关系、结构化、非结构化数据源进行分析的技术。
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