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Handling Heterogeneous Data Sources in a SOA Environment with Service Data Objects (SDO)

机译:处理具有服务数据对象的SOA环境中的异构数据源(SDO)

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Service Oriented Architecture (SOA) is gaining momentum in the development community based on its model for creating richer, reusable solutions at lower cost that can adjust to the agile business environments. The solutions built on this principle are composed of services that offer business functionality as a unit or as a whole. These services will access data from different data source types and potentially need to aggregate data from different data source types with different data formats. In this type of environment, handling of different forms of data poses a big challenge for application developers, and the challenge increases in size when you consider the broad diversity of programming models in use. Service Data Objects (SDO) is a specification for a programming model that unifies data programming across data source types and provides robust support for common application patterns in a disconnected way. Although Service Data Objects offer many other capabilities that are very useful for supporting integration with tools and other frameworks, this paper will focus on describing SDOs and how it can be used to handle heterogeneous data sources in SOA environments.
机译:面向服务的架构(SOA)在开发社区的基础上基于其创建更丰富的模型,以较低的成本为基础为基础开发社区的势头,以较低的成本可以适应敏捷业务环境。基于此原则的解决方案由提供业务功能作为单位或整体的服务组成。这些服务将访问来自不同数据源类型的数据,并且可能需要以不同的数据格式从不同的数据源类型聚合数据。在这种类型的环境中,不同形式的数据的处理对应用程序开发人员构成了大量挑战,并且当您考虑使用的编程模型的广泛多样性时,挑战会增加。服务数据对象(SDO)是针对数据源类型统一数据编程的编程模型的规范,并以断开连接的方式为公共应用程序模式提供强大支持。虽然服务数据对象提供了许多对支持工具和其他框架的集成非常有用的其他功能,但本文将专注于描述SDO以及如何用于处理SOA环境中的异构数据源。

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