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    METADATA PROPAGATION METHOD FOR GRAPH STRUCTURE DATA
    92.
    发明公开
    METADATA PROPAGATION METHOD FOR GRAPH STRUCTURE DATA 审中-公开

    公开(公告)号：US20240012858A1

    公开(公告)日：2024-01-11

    申请号：US17862038

    申请日：2022-07-11

    申请人： Hitachi, Ltd.

    发明人： Kazuhide AIKOH

    IPC分类号： G06F16/906 ,  G06F16/25 ,  G06F16/22

    CPC分类号： G06F16/906 ,  G06F16/254 ,  G06F16/2264

    摘要： A method for determining metadata propagation generated by an Extract, Transfer, Load (ETL) process. The method may include categorizing metadata given to data sources to generalize the metadata and categorizing the ETL process to generalize the ETL process; defining propagation rules for the generalized metadata and generalized ETL process; and generating metadata for ETL-converted data based on the categorization of the generalized metadata and generalized ETL process, and corresponding ones of the propagation rules.

    CONNECTION NATURE BETWEEN NODES IN GRAPH STRUCTURE
    94.
    发明公开
    CONNECTION NATURE BETWEEN NODES IN GRAPH STRUCTURE 审中-公开

    公开(公告)号：US20230418845A1

    公开(公告)日：2023-12-28

    申请号：US18244440

    申请日：2023-09-11

    申请人： Microsoft Technology Licensing, LLC

    发明人： Leo Moreno BETTHAUSER ,  Maurice DIESENDRUCK ,  Harsh SHRIVASTAVA

    IPC分类号： G06F16/28 ,  G06F16/22

    CPC分类号： G06F16/288 ,  G06F16/2264

    摘要： The interpretation of a graph data structure represented on a computing system in which the connection between a pair of nodes in the graph may be interpreted by which intermediary entity (node or edge) on a path (e.g., a shortest path) between the node pair is most dominant. That is, if the intermediary entity were not present, a detour path is determined. The greater the difference between the detour path and the original path, the more significant that intermediary entity is. The significance of multiple intermediary entities in the original path may be determined in this way.

    DYNAMIC APPLICATION BUILDER FOR MULTIDIMENSIONAL DATABASE ENVIRONMENTS
    96.
    发明公开
    DYNAMIC APPLICATION BUILDER FOR MULTIDIMENSIONAL DATABASE ENVIRONMENTS 审中-公开

    公开(公告)号：US20230418563A1

    公开(公告)日：2023-12-28

    申请号：US18462753

    申请日：2023-09-07

    申请人： Donyati, LLC

    发明人： Murali Krishna Konuri

    IPC分类号： G06F8/30 ,  G06F16/22 ,  G06F8/60 ,  G06F16/28 ,  G06F8/41

    CPC分类号： G06F8/30 ,  G06F16/2264 ,  G06F8/60 ,  G06F16/285 ,  G06F8/447 ,  G06F16/2246

    摘要： Systems and methods for generating custom applications for querying a multidimensional database of a target platform include, responsive to receiving a custom application request, an application definition is discovered based on data received from one or more sources. The application definition indicates target outputs of the custom application, influencers for each of the target outputs that correspond to members of one or more first dimensions of the multidimensional database, and granularity definitions relative to second dimensions of the multidimensional database for each influencer. Mutually exclusive groups each including two or more target outputs are generated by applying a weighting algorithm to the application definition, and resource-efficient machine written code is dynamically generated based on the groupings and the results of the weighting algorithm. The machine written code is compiled into an application package, which is then deployed to the target platform for execution on the multidimensional database.

    AUTOMATIC ANALYSIS OF DIFFERENCE BETWEEN MULTI-DIMENSIONAL DATASETS
    99.
    发明公开
    AUTOMATIC ANALYSIS OF DIFFERENCE BETWEEN MULTI-DIMENSIONAL DATASETS 审中-公开

    公开(公告)号：US20230394071A1

    公开(公告)日：2023-12-07

    申请号：US18345858

    申请日：2023-06-30

    申请人： Microsoft Technology Licensing, LLC

    发明人： Rui DING ,  Zhouyu FU ,  Shi HAN ,  Haidong ZHANG ,  Dongmei ZHANG

    IPC分类号： G06F16/28 ,  G06F16/22 ,  G06F16/248

    CPC分类号： G06F16/288 ,  G06F16/285 ,  G06F16/2264 ,  G06F16/248

    摘要： According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.