The objective is to assess if service implementations will meet the required service levels regarding data quality and if additional data transformations or data cleansing operations are required.
其目的是评估服务实现在数据质量方面是否将满足要求的服务级别,以及是否需要附加的数据转换或数据清理操作。
The transformation capabilities of the data cleansing pattern are specialized and focus upon improving data quality and integrity by standardizing and matching data.
数据清理模式的转换能力是专用的,重点是通过数据的标准化和匹配提高数据质量和完整性。
Applying the data cleansing pattern in an SOA context provides the business processes with the capability to manage and assure data quality "at the point of its initial collection."
通过在soa上下文中应用数据清理模式,可提供具有在“其初始集合处”管理和确保数据质量的能力的业务流程。
This paper reviews some concepts on data cleansing, lists the data quality issues needed to be resolved in data cleansing process, and presents the techniques and methods for data cleansing firstly.
本文首先分析总结了数据清洗的有关概念,给出了数据清洗中需要解决的质量问题,并总结了解决这些问题的技术和方法。在此基础上提出了以人为中心的数据清洗过程模型。
This paper reviews some concepts on data cleansing, lists the data quality issues needed to be resolved in data cleansing process, and presents the techniques and methods for data cleansing firstly.
本文首先分析总结了数据清洗的有关概念,给出了数据清洗中需要解决的质量问题,并总结了解决这些问题的技术和方法。在此基础上提出了以人为中心的数据清洗过程模型。
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