The data may be loaded from a data source (using a data Access Service) or created dynamically.
数据可以从数据源加载(使用数据访问服务)或动态创建。
Instead, it accesses an intermediary called a data access service (DAS) and receives a data graph in response.
它访问一个叫做数据访问服务(data access service,DAS)的中介并接收响应中的数据图。
The task of connecting applications to data sources is performed by a data Access Service (DAS) (see Figure 1).
将应用程序连接到数据源的任务是通过数据访问服务(Data Access Service,DAS)执行的(参见图1)。
If the highest performance is needed, the data access service can often be implemented as a database stored procedure.
如果需要最高的性能，通常可以将数据访问服务作为数据库存储过程实现。
The data Access Service follows an API description such that third parties can write their own data Access Services to any data source.
数据访问服务遵循相应的API描述，因此第三方可以为任何数据源编写自己的数据访问服务。
Placing the data manipulation logic into a data access service or procedure makes the business logic less dependent on the source of the data.
将数据操作逻辑放入到数据访问服务或过程中可减少业务逻辑对数据源的依赖性。
HSDA Server is a kind of EMS Server. It conforms to IEC 61970 HSDA standard, provides high speed data access service, and plays a major role of publishing real-time data in EMS system.
HSDA服务器是一个遵循iec 61970 HSDA规范的服务器，在EMS等系统中，它主要扮演着实时数据发布者的角色，对外提供高速数据访问服务。
It's a complex system wherein data is copied to multiple intermediate devices, usually to speed up access to files when millions of people are trying to access the service at the same time.
这是一个复杂的系统，数据被复制到多个中间设备，通常是为了在数百万人同时试图访问服务时加快文件访问速度。
Even among authorized users, not all users should have access to all data that the service has access to.
即使在授权用户中，并非所有用户都应该具有该服务能够访问的所有数据的访问权。
Service implementation has to support not only business functionality of the service, but also all of the data validation and access and coordination logic.
服务实现不得不除了支持服务的业务功能之外，还需要支持所有的数据验证、存取和协调逻辑。
With this architecture, DSL gets invoked for every data access operation or transaction initiated by a business service.
使用这个体系架构，业务服务发起的每个数据访问操作或事务都将调用DSL。
All departments that maintain or access the same information use the same service, making any data and processing redundancies transparent to users.
所有维护或访问相同信息的部门使用相同服务，任何数据和冗余处理对用户来说都是透明的。
Presentation layer objects will depend on service layer objects, which will themselves depend on other service objects and data access objects, etc.
表示层对象会依赖于服务层对象，而这些服务层对象又依赖于其它服务对象和数据访问对象等。
Even among authorized users, not all users should have access to all data the service has access to.
即便在授权用户中，也不是所有用户应该访问服务存取的全部数据。
This means that if the service implementation requires additional data for its processing, it can access it directly without impacting its consumers.
这意味着如果服务实现需要用于它的流程的额外数据，它可以在不影响它的消费者的情况下直接存取到数据。
The next version should focus less on the data access and business logic tiers and more on the service interface.
下一版本应该把重点放在服务接口，而不是数据访问和业务逻辑层。
There is often a third category of service, the information service, which provides direct access to data contained within a (typically federated) data source.
经常还有第三类服务，信息服务，用于提供对数据源(通常为联合数据源)中包含的数据的直接访问。
This means that data and service architects have direct access to structured and consistent business terms when defining or extending canonical data models and service models.
这意味着数据和服务架构师在定义或扩展规范化数据模型和服务模型时，可以直接使用结构化的、一致的业务术语。
You can use Business Objects, extensions of Service Data Objects (SDO), to provide an abstraction layer for data access.
可以使用业务对象（服务数据对象 (SDO)的扩展）为数据访问提供抽象层。
These act as WSDL service and data interface definition, service location URL, and access protocol and message delivery rules, respectively.
它们的作用分别是WSDL服务和数据界面定义，服务位置url，以及访问协议和信息交付规则。
Now that you've got the data access set up, take a look at creating a service for the application.
设置好数据后，就可以为应用程序创建服务了。
Although typical SOA implementations hide enterprise data behind service interfaces, it still requires solving of the following data access issues.
尽管典型的SOA实现在服务接口后面隐藏了企业数据，它仍然需要解决下面的数据存取问题。
Users can access the forms and submit data back to a Web service or other server process.
用户可以访问表单并将数据提交给Web服务或其他服务器处理。
This example setup supports the use of stateless service and data access (DAO) layers that are configured using a lightweight container, in this case Spring.
这个例子设置支持使用以轻量级容器（这里就是Spring）配置的无状态服务和数据访问（DAO）层。
The service and data access (DAO) layers are wired together using the Spring framework.
服务层和数据访问(dao)层使用Spring框架绑定到一起。
Low latency access to data stored in the Amazon Simple Storage Service (S3).
降低访问Amazon简单存储服务(S3)数据的响应时间。
Identifies the service endpoint that provides the URL for Monitor data access.
标识为Monitor数据访问提供url的服务端点。
IBM WebSphere eXtreme Scale provides an alternative to centralized data access for high-volume and high-SLA (service level agreement) applications.
IBMWebSphereeXtremeScale为高容量和高SLA(服务级别协议)应用程序提供集中式数据访问选择。
Single Sign On (SSO), which helps manage data server access from a centralized authentication service using Kerberos Authentication protocol
单点登录 (SSO)，这有助于使用Kerberos身份验证协议通过集中的身份验证服务管理数据服务器访问
The Contacts Sample uses a multitier pattern for data access: presentation - service - data access object - database.
ContactsSample在数据访问中使用了多层模式：表示-服务 - 数据访问对象 -数据库。
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