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    • 1. 发明申请
    • NON-RELATIONAL FUNCTION-BASED DATA PUBLICATION FOR RELATIONAL DATA
    • 用于关系数据的非关联函数数据出版
    • US20120158655A1
    • 2012-06-21
    • US12972530
    • 2010-12-20
    • Bryan DoveMichael J. BortnickStuart M. BowersRobert L.C. Parker
    • Bryan DoveMichael J. BortnickStuart M. BowersRobert L.C. Parker
    • G06F17/30
    • G06F16/28
    • A data publication system is described herein that provides a data replication model that combines benefits of data distribution from non-relational paradigms with the benefits of deeply integrating datasets via relational database paradigms. The system allows the creation of programmatic functions for extracting subsets of data stored in any source model, extracting data from a variety of sources, and republishing that data in a target model built upon the aggregated source data. The target model can provide standard relational paradigms across a set of data from multiple sources, whether or not the original sources were relational in nature. The system applies known paradigms for data replication based upon programmatic functions as a means for data replication and integrates this method for data duplication and replication based upon arbitrary functions with the power of relational database systems to process associated entities of data in highly efficient ways.
    • 本文描述了一种数据发布系统,其提供数据复制模型,其将来自非关系范式的数据分发的优点与通过关系数据库范式深入集成数据集的好处相结合。 该系统允许创建用于提取存储在任何源模型中的数据子集的编程功能,从各种来源提取数据,并在基于聚合源数据构建的目标模型中重新发布该数据。 目标模型可以提供来自多个来源的一组数据的标准关系范式,无论原始来源是否是关系性质。 该系统基于编程功能将数据复制的知识范例应用于数据复制的手段,并将此方法用于基于任意功能的数据复制和复制,并具有关系数据库系统的功能,以高效的方式处理关联的数据实体。