Canonical modeling and data quality analysis can provide value to the consistency of services and to its output data regardless of the type of service.
无论服务是什么类型的,规范化建模和数据质量分析都有助于保证服务及其输出数据的一致性。
Subsequent analysis is done on each sub-process of interest to identify the components, services, data inputs and outputs, policies, and measurements.
随后是对感兴趣的各子流程进行分析以确定组件、服务、输入输出数据、策略及测量。
Resources and time in which to perform data quality analysis are limited, and the ultimate goal is the delivery of the SOA services with data that supports the SOA functionality.
用于执行数据质量分析的资源和时间是有限的,而最终目标是交付拥有支持SOA功能的数据的SOA服务。
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