它的确是功能丰富的关系型数据库。
如今，使用关系型数据库无可厚非。
Now, there's nothing wrong with using a relational database.
CouchDB不是一个关系型数据库。
用户信息可存储在任何一个关系型数据库。
Any relational database can be used to store user information.
这些功能用传统的关系型数据库比较难实现。
These features are difficult to implement in a traditional relational database.
我们同样提供关系型数据库(MYSQL)。
按以下步骤创建策略表的关系型数据源。
Follow these steps to create relational feeds for the policy table.
它提供了连接XML数据与关系型数据的最简便途径。
It provides the easiest means to join XML data and relational data.
您可以通过组合方式查询XML数据与关系型数据。
You can query XML data and relational data in a combined manner.
首先，我们现有的关系型数据库产品可以存储XML。
First, our existing relational database products can store XML.
这与十分依赖规范化数据存储关系的关系型数据库有很大不同。
This differs greatly from relational databases, which rely heavily on relationships to normalize data storage.
参考资料中包含创建关系型数据源的详细信息的链接。
The Resources section contains links that provide details on creating relational feeds.
在哪些情况下，用面向文档的数据库优于关系型数据库？
What are some use cases for using a document-oriented database over the relational one?
对于这些项目，您需要采用一种不同的方式—不涉及关系型数据库。
For those projects, you need a different approach - something that doesn't involve a relational database.
规则通常作为文件存储或存储于关系型数据库内，规则是可修改的。
Rules can generally be stored as files or in relational databases and can be modified.
开发者也可以另外选择内嵌的SQLite特性来存储关系型数据。
Developers might additionally choose to leverage the embedded SQLite features for relational data storage.
然后 FAP服务将该关系型数据转换成一个TM1多维数据集。
The FAP service then transforms this relational data into a TM1 cube.
在整个系列中，我和您了分享大量非关系型数据存储，统称为NoSQL。
Throughout this series, I've Shared with you a number of non-relational data stores, collectively dubbed NoSQL.
表中的每一行既包含传统的关系型数据，也包含比较新的基于XML的数据。
Each row of the table contains both traditional relational data and the newer XML-based data.
缓存将这些视图或过程的结果保存在中间存储中，以文件或关系型数据库的形式。
Caching stores the results from these views or procedures in an intermediate storage that could be either a file or a relational database.
当缓存XML信息时，可以选择将转换输出存储到本机文件或某个关系型数据库中。
When you cache the XML transformation, you store the transformation output to a local file or to some relational database of choice.
Hibernate与JPA是Fabric3中访问关系型数据的最流行的方式。
Hibernate and JPA are the most popular mechanisms for accessing relational data in Fabric3.
关系型数据一般都是标准化的，需要保持其数据完整性以及去除冗余数据。
Relational data is often normalized to retain its integrity and remove redundancy.
虽然DataStage作业设计很适合于关系型数据，但程序集很适合于分层数据。
While DataStage job design is well suited for relational data, the assembly is well suited for hierarchical data.
原始数据是从非关系型数据文件中获得的，这些文件都是由DBGEN生成的。
Source data came from flat files, as it was generated by DBGEN.
但是，如果您的文档是纯数据，那么将该文档引入到关系型数据库中进行操作会更有意义。
If your document is pure data, however, it still makes more sense to bring it into a relational database for manipulation.
之所以要引入OLEDB，主要是为了给非关系型数据和关系型数据提供统一的数据访问。
OLE DB was introduced primarily to provide uniform data access to non-relational data as well as relational data.
本文提出了一种通用的数据结构可以装载任意一种可转换为关系型数据的数据源。
A general data structure is provided in the paper, which can load any data that can be changed into relationship data.
嵌入了SQL的XQuery对于那些需要整合关系型数据和XML数据的应用程序非常有用。
XQuery with embedded SQL can be useful for applications that need to integrate relational and XML data.
填充表格的数据通常存储在关系型数据库中，在输出的表格中，必须将它们显示在准确的位置上。
The data to populate these forms is often stored in a relational database which needs to be rendered in an exact position on the form.
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