对于其他数据源(比如非关系数据)或是其他的数据库访问技术(比如LINQ toSQL)来说，ADO.NET Data Services又提供了一种机制将这些数据源建模为实体和关系(比如通过EDMschema描述)并将其暴露为数据服务。
LINQ to SQL a mechanism is provided which enables any data source to be modeled as entities and associations ie. described using an EDM schema and exposed as a data service.
他们还需要掌握数据库的概念或具有DBA的经验，以便在设计解决方案时能够理解源和目标数据库之间的蕴涵关系。
They also need to have knowledge of database concepts or DBA experience in order to understand the implications for the source and target database when designing this solution.
另外，尽管可以在保留现有关系数据库的同时使用NXD，但是这会在集成多个数据源的数据方面产生新的难题。
And, though they might use an NXD in addition to their relational database, this can create new challenges in the integration of data divided over multiple sources.
更新关系数据源中的数据，就好像数据存储在联邦数据库中一样。
Update data in relational data sources, as if the data is stored in the federated database.
如果数据源是关系数据库，那么就需要写一个复杂得多的服务了。
If the data source is a relational database, a more complex service will need to be written.
对于关系数据源来说，这个集合通常就是数据库。
For relational data sources this collection is usually a database.
源和目标包括关系数据库管理系统、ERP系统、大型机遗留系统、XML和专用数据格式。
Sources and targets include relational database management systems, ERP systems, mainframe legacy systems, XML, and proprietary data formats.
注意：关系数据库的客户端软件必须安装在与创建FAPOD BC数据源和TM 1服务器所在的同一台计算机上。
Note: the client software for your relational database must be installed on the same computer on which you are creating the FAP ODBC data source and TM1 server.
模型需要匹配源XML或关系数据库中存在的类型、属性和关系，需要将此信息指定给DAS。
The model needs to match the types, properties, and relationships that exist in the source XML or relational database, and this information needs to be specified to the DAS.
在这个示例中，源是您的关系数据库，目标是一个包含XML文档结构的XML模式定义(XSD)文档。
In this case, the source would be your relational database and the target would be an XML schema definition (XSD) document that contains the structure of the XML document.
提供这些技术的发布者还必须维护从底层初始数据源(通常是关系数据库中的数据)生成每种备选表示的代码。
A publisher offering these techniques must also maintain code that generates each alternative representation from the underlying original data source (often data in a relational database).
一个数据源可以四像关系型数据库管理体统这样的数据库,可以是面向对象型的数据库管理系统,可以是XML文档,也可以是简单文件等等.
A data source could be a database such as an RDBMS, OODBMS, XML repository, flat file system, and so forth.
数据源的范围很广，从简单的资源(比如演示和图像)到复杂的感知模式的数据源(比如关系数据库或Personal Information Management [PIM]数据库)。
Data sources can range from simple resources, such as memos and images, to complex schema-aware data types, such as relational databases or Personal Information Management (PIM) databases.
支持各种数据源，其中包括关系数据库管理系统(DBMS)、非关系DBMS、文件、XML文档和其他数据源。
Support for a variety of data sources, including relational database management systems (DBMSs), non-relational DBMSs, files, XML documents, and others.
Wikipedia对它的定义是，提供了用于抽取和操纵来自于XML文档或者任何可以视作XML的数据源（比如关系型数据库或者office文档）中数据的方式。
Wikipedia defines it's function as providing the means to extract and manipulate data from XML documents or any data source that can be viewed as XML, such as relational databases or office documents.
您可能需要通过使用逆向工程(reverse engineering)技术构造源数据模型，从而从现有的源数据库中开发实体和关系(Entity and Relation,er)模型。
You might need to construct the source data models by using reverse engineering techniques, developing Entity and Relation (er) models from existing source databases.
这些数据源包括像mySQL之类的强大的关系数据库，也包括像Excel电子表格之类的非关系对象。
These data sources range from powerful relational databases such as mySQL to non-relational objects such as Excel spreadsheets.
数据源是附加的数据来源，例如关系数据库或Excel电子表格。
Data sources are additional sources of data, such as relational databases or Excel spreadsheets.
OData被用来从各种数据源中暴露和访问信息，这些数据源包括但不限于：关系数据库、文件系统、内容管理系统和传统Web站点。
OData is being used to expose and access information from a variety of sources including, but not limited to, relational databases, file systems, content management systems and traditional Web sites.
Exeros技术可以自动地发现数据库之间隐藏的关系，帮助用户发现不同数据源的意义，避免手工数据映射过程。
Exeros technology automatically uncovers hidden relationships between databases, helping users make sense of disparate sources without the labor-intensive process of manually mapping data.
将使用新的抽象，如服务数据对象（ServiceData Object），隐藏与关系数据库这类数据源交互的复杂性。
New abstractions such as Service Data Objects will be used to hide the complexities of interacting with data source such as relational databases.
数据源可以是关系数据库、文件系统、Web服务，甚或一系列业务应用程序中包含的自定义数据源。
A data source could be a relational database, a file, a Web Service or even a custom data source included within a line of business application.
为了连接已提供的数据源db2CubeViews，首先必须连接底层关系数据库。
In order to connect to the data source DB2 Cube Views provided, you must first connect to the underlying relational database.
对于Web应用程序，数据源通常是一个关系数据库，其中内置了一些搜索功能(Equality是一个简单的搜索运算符，与SQL运算符like一样)。
For a Web application, the data source is commonly a relational database, which has some forms of search built in. (Equality is a simple search operator, as is the SQL operator LIKE.)
具有一些现有数据源（关系数据库或其他数据源）。
There are several existing data sources (relational databases or other).
以XML为公共模型，通过关系数据库与XML的可逆双向转换，建立异构关系数据源的统一转换工具。
With XML as the common model, the uniform conversion instrument of isomerous database is set up through the reversible bidirectional conversion between relational database and XML.
籽粒灌浆阶段干物质生产及分配受源库关系的调节。
The dry matter production and distribution were regulated by source-sink structure during grain filling.
粒叶比是衡量源库关系是否协调的一种数量化表示方法，被作为筛选高产品种的综合指标。
The grain-leaf area ratio was a quantitative expressing way to evaluate the coordinative level of source-sink relationship and was taken as a comprehensive index to select the variety of high yield.
为返回数据源中与查询目标节点相似的节点，首先提取出数据源中长度在固定范围内的所有路径，然后利用关系数据库系统将其与查询路径进行相似性连接，并按相似度从大到小返回所有结果。
To get the source nodes similar to the target query node, firstly the paths whose lengths were within an interval were extracted from the data source, then a similarity join process between them and.
为返回数据源中与查询目标节点相似的节点，首先提取出数据源中长度在固定范围内的所有路径，然后利用关系数据库系统将其与查询路径进行相似性连接，并按相似度从大到小返回所有结果。
To get the source nodes similar to the target query node, firstly the paths whose lengths were within an interval were extracted from the data source, then a similarity join process between them and.
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