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    Techniques for utilizing patterns and logical entities
    5.
    发明授权
    Techniques for utilizing patterns and logical entities 有权

    公开(公告)号：US11520782B2

    公开(公告)日：2022-12-06

    申请号：US17217881

    申请日：2021-03-30

    Applicant: Oracle International Corporation

    Inventor： Ganesh Seetharaman ,  Robert Velisar ,  Geoffrey William Watters ,  Yuda Dai

    IPC: G06F16/22 ,  G06F16/245 ,  G06F16/23 ,  G06F16/248

    Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.

    GENERATING EXTERNAL IDENTIFIERS FOR DATA ENTITIES USING A DATA CATALOG SYSTEM
    6.
    发明公开
    GENERATING EXTERNAL IDENTIFIERS FOR DATA ENTITIES USING A DATA CATALOG SYSTEM 审中-公开

    公开(公告)号：US20240232175A1

    公开(公告)日：2024-07-11

    申请号：US18614542

    申请日：2024-03-22

    Applicant: Oracle International Corporation

    Inventor： Ganesh Seetharaman ,  Robert Velisar ,  Yuda Dai ,  Yuen Sheung Chan

    IPC: G06F16/23 ,  G06F16/22 ,  G06F16/958

    CPC classification number: G06F16/2379 ,  G06F16/2228 ,  G06F16/2365 ,  G06F16/972

    Abstract: A data catalog system is disclosed that provides capabilities for uniquely identifying and retrieving data entities stored in diverse data sources managed by an organization. The data catalog system includes capabilities for generating a unique external identifier for a data entity (e.g., a data asset or a data object) by identifying a set of immutable configuration parameters associated with the data asset and identifying a set of data object attributes that uniquely identify data objects within the data asset. The generated unique external identifiers are stored as part of the metadata harvested by the data catalog system. The external identifiers are used to enforce a single representation of the data assets and the data objects in the data catalog system. The external object identifiers are used to perform data lookups and reconcile states of data entities during the metadata harvesting process.

    Techniques for efficient compute resource harvesting
    7.
    发明授权
    Techniques for efficient compute resource harvesting 有权

    公开(公告)号：US11892993B2

    公开(公告)日：2024-02-06

    申请号：US17036345

    申请日：2020-09-29

    Applicant: Oracle International Corporation

    Inventor： Ganesh Seetharaman ,  Robert Costin Velisar ,  Yuen Sheung Chan

    IPC: G06F16/00 ,  G06F16/22

    CPC classification number: G06F16/2228

    Abstract: The present disclosure relates to a system and techniques for resolving dangling references resulting from a dependency relationship between computing resource objects uncovered during a harvesting process. In embodiments, a harvester application adds computing resource objects associated with a client to a resource collection as those computing resource objects are identified. Dependencies are identified as each computing resource object is added to the resource collection, which are resolved only if the computing resource objects associated with those dependencies have already been added to the resource collection. If the computing resource objects associated with the dependencies have not already been added to the resource collection, then the dependency is added to an observer pool. Observer modules are configured to check each computing resource object as it is processed during the harvest process in order to match those computing resource objects to unresolved dependencies.

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