Data mining, also known as knowledge discovery in databases.
数据采掘，也称数据库中的知识发现。
Knowledge discovery in databases is a very active research area.
在数据库中发现知识是一个非常活跃的研究领域。
Finally, the information was stored in databases that are available to anyone.
最后，相关信息会储存在数据库里，人人都可以自由取得。
Note: In our scenario, the scripts above were used to create the databases.
注意：在我们的场景中，上述脚本是用于创建数据库。
This is more important in large databases.
这在大型数据库中更加重要。
Databases also have some distinct advantages over normal software in the way they structure data.
相对于其它软件，数据库在数据的组织形式上具有优势。
This algorithm type is quite common in search databases and other reference applications.
在搜索数据库和其他参考应用程序里，这种算法类型相当普遍。
In this case, dividing the data into two different databases is useful.
这时将数据划分到两个不同的数据库中会很有帮助。
Must define the tables, to be replicated, in the source and target databases.
必须定义源和目标数据库中要复制的表。
In addition, in equipment was designed to work with certain customer systems and databases.
此外，智能网设备在设计上包含客户系统和数据库系统等。
This is also important in replicating databases.
这在复制数据库时很重要。
I also searched state and county databases for the state in which I reside.
针对我居住的州，我也搜索了州及县数据库。
In addition you save network bandwidth. This approach is portable across databases.
此外，这样做还能节省网络带宽，这也是一种拥有跨数据库移植性的做法。
NOTE: This article assumes that you know how to create databases in Lotus Approach.
注意：本文假设您了解在Lotus Approach中创建数据库的方法。
In the next article, you will learn how to deal with legacy databases in Grails.
在下一篇文章中，您将会学习如何处理Grails中的遗留数据库。
In the Download section of this article, there are two sample databases: WebServiceConsumer.nsf and MyWebService.nsf.
在本文的“下载”部分，有两个数据库示例：WebServiceConsumer . nsf和MyWebService . nsf。
The physical data maintained in various IBM databases may contain different information, including.
各种IBM数据库中维护的物理数据可能包含不同的信息，包括。
A MySQL instance, as you see in Figure 1, can manage many databases.
一个MySQL实例(如图1所示)能管理多个数据库。
The Customer table in different databases will have the following data.
不同数据库中的Customer表会含有以下数据。
This Database has more in common with regular databases than just the name.
这个Database与常规数据库有着很多的相似之处，这不仅仅体现在名称上。
The databases are the same, SAMPLE and DUMMY as in Example 1.
数据库是相同的，与示例1中一样是SAMPLE和DUMMY。
Many databases have strong auditing and authorization built in to protect corporate data.
很多数据库都有强大的内置审核和授权机制，以保护公司数据。
In DB2, an instance can contain several databases, as shown in Figure 2.
在DB 2中，一个实例可以包含多个数据库，如图2所示。
The RATLC replica (from Step 2) must exist in the available databases.
RATLC拷贝(来自步骤2)必须存在于可用的数据库。
The levels of access to databases that are available are shown in the following table.
对数据库的可用访问级别如下表所示。
Keep in mind that this API is not intended to replace general purpose databases.
请记住，此api并不能替代通用数据库。
In addition, these applications may need to work with different types of databases.
此外，这些应用可能需要在不同的数据库上工作。
NOTE: in Production, you should always type a meaningful name for your content databases!
注意：在生产中，你应该总是输入您的内容数据库的一个有意义的名称！
The data always are related to time in many practical databases.
在许多现实的数据库中，数据常常与时间有关。
The data always are related to time in many practical databases.
在许多现实的数据库中，数据常常与时间有关。
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