Research and products for the integration of heterogeneous legacy source databases in data warehousing have addressed numerous data quality problems in or between the sources. Such a solution is marketed by Team4 for the decision support of mobile sales representatives, using advanced view maintenance and replication management techniques in an environment based on relational data warehouse technology and Lotus Notes-based client systems. However, considering total information supply chain management, the capture of poor operational data, to be cleaned later in the data warehouse, appears sub-optimal. Based on the observation that decision support clients are often closely linked to operational data entry, we have addressed the problem of mapping the data warehouse data quality techniques back to data quality measures for improving OLTP data. The solution requires a warehouse-to-OLTP workflow which employs a combination of view maintenance and view update techniques.
用于将异构遗留源数据库集成到数据仓库中的研究和产品已经解决了源中或源之间的许多数据质量问题。这样的解决方案由Team4销售,用于在基于关系数据仓库技术和基于Lotus Notes的客户端系统的环境中使用高级视图维护和复制管理技术来为移动销售代表提供决策支持。但是,考虑到整个信息供应链管理,捕获较差的操作数据(这些数据稍后在数据仓库中进行清理)似乎不是最佳选择。基于决策支持客户通常与运营数据输入紧密相关的观察,我们已经解决了将数据仓库数据质量技术映射回数据质量度量以改善OLTP数据的问题。该解决方案需要从仓库到OLTP的工作流,该工作流结合了视图维护和视图更新技术。 P>
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