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    • 1. 发明申请
    • Hierarchical drift detection of data sets
    • 数据集的分层漂移检测
    • US20060020594A1
    • 2006-01-26
    • US10896619
    • 2004-07-21
    • Neeraj GargMichael DalyMahesh JayaramIndrojit DebKulothungan Rajasekaran
    • Neeraj GargMichael DalyMahesh JayaramIndrojit DebKulothungan Rajasekaran
    • G06F17/30
    • G06F16/27
    • The present leverages data hierarchies to provide a systematic means to determine data differences between equivalent data. This allows disparate data storage systems to efficiently determine divergent data locations by utilizing, for example, data signatures representative of varying degrees of data granularity. Comparative analysis can then be performed between the databases by employing an iterative approach until the desired level of data granularity is obtained. This allows, in one instance of the present invention, discrepant data to be determined without the transfer of large amounts of data and without requiring homogeneous data storage systems. Another instance of the present invention utilizes equivalent logical data views from non-identical data sets to determine data discrepancies. Yet another instance of the present invention determines discrepancies of a federated and/or integrated data system by employing reversible data statistical signatures, providing a simplistic transfer protocol and sheltering each data system from the other's complexities.
    • 本发明利用数据层次来提供确定等效数据之间的数据差异的系统手段。 这允许不同的数据存储系统通过利用例如代表不同程度的数据粒度的数据签名来有效地确定发散数据位置。 然后可以通过采用迭代方法在数据库之间进行比较分析,直到获得期望的数据粒度水平。 这在本发明的一个实例中允许在不传输大量数据而不需要均匀数据存储系统的情况下确定差异数据。 本发明的另一个实例使用来自不相同数据集的等效逻辑数据视图来确定数据差异。 本发明的另一个实例通过采用可逆数据统计签名来确定联合和/或集成的数据系统的差异,提供简单的传输协议并且避免每个数据系统与其他复杂性。