Non-transactional data access in Web flows.
web流中非事务性数据访问。
Inefficient data access by custom web parts.
自定义We b部件进行了无效率的数据访问。
Stored Procedures and the unified data access.
存储过程和统一数据访问。
Minimize performance tuning of data access tasks.
将数据访问任务的性能调优降到最低。
Reducing code duplication in the data access tier.
减少数据访问层中的代码重复。
Data access objects may or may not match the domain objects.
数据访问对象既可以匹配也可以不匹配域对象。
SPARQL doesn't require you to design a data access interface.
SPARQL不需要设计数据访问接口。
The data access tier is designed as a set of coarse-grained DAOs.
数据访问层被设计为一系列粗粒度的DAO。
Simulated data access objects essentially simulate a back-end datastore.
模拟数据访问对象实际上模拟后端数据存储。
Yet, the models and methods for doing data access are continually changing.
然而，实现数据访问的模型和方法一直在变。
Both are SOA-based, using the templated non-relational data access pattern.
这两个示例均基于SOA，使用的是模板化非关系数据访问模式。
User identity must be propagated into services and used to authorize data access.
用户标识必须传播到服务中，并用于授权数据访问。
Is there something to be learned about data access and portability from these services?
那么从这些服务中，我们能学习到关于数据访问和可移植性的哪些经验呢？
Logic on defining data access and aggregation can be reusable across different projects.
有关定义数据访问和聚合的逻辑可以在不同的项目中加以重用。
This assumption simplifies data coherency issues and enables high throughput data access.
这一假设简化了数据一致性问题，使高吞吐量的数据访问成为可能。
For more information about how to view and interpret DB2 data access plans, see Resources.
关于如何查看和解释DB 2数据访问计划的更多信息，请参见参考资料。
Personally I like the idea of keeping all the data access logic encapsulated in that class.
我个人倾向于将所有的数据访问逻辑封装到这个类中。
The data access layer provides a semantic data store, a user profile, and the rules database.
数据访问层提供了一种语义数据存储、一个用户个人文件以及规则数据库。
Use a Data Access Object (DAO) to abstract and encapsulate all access to the data source.
使用数据访问对象来抽象和封装对数据源的所有访问。
The technique of using stored procedures for data access can be used on all DB2 family servers.
使用存储过程来访问数据的这种技术可以在DB 2家族的所有服务器上使用。
In this article, you'll learn about layered testing with simulated data access objects (SDAOs).
在本文中，您将了解使用模拟数据访问对象(SDAO)进行分层测试。
You can refactor the code to isolate the data access functions into a separate file as homework.
作为练习，您可以对代码进行重构以将数据访问函数分离到单独的文件中。
A stored procedure is a popular feature that is widely used for improving data access performance.
存储过程是一种很受欢迎的功能，它广泛用于提高数据访问性能。
This pattern encourages you to treat an application in layers -- presentation, domain, data access.
此模式鼓励您分层（表示层、域层、数据访问层）处理应用程序。
As with any application, carefully considering your business needs for data access goes a long way.
与任何应用程序一样，仔细考虑您对数据访问的具体业务需求任重而道远。
Logic and metadata used to define data access and aggregation can be reused across different projects.
用于定义数据访问和聚集的逻辑和元数据可以在不同的项目之间重用。
In the sections that follow you'll learn techniques for designing and implementing data access objects.
在下面一节中您将学习设计和实现数据访问对象的技术。
The core concept is to centralize all security decisions in the gateway and prevent unwanted data access.
核心思路是把所有安全决策集中在网关，防止不希望出现的数据访问。
In addition to data access, a data platform typically provides a centralized place for data transformation.
除了数据访问，一个数据平台通常还提供一个集中式的数据转换场所。
In addition to data access, a data platform typically provides a centralized place for data transformation.
除了数据访问，一个数据平台通常还提供一个集中式的数据转换场所。
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