GENERATING EXTERNAL IDENTIFIERS FOR DATA ENTITIES USING A DATA CATALOG SYSTEM

    公开(公告)号:US20240232175A1

    公开(公告)日:2024-07-11

    申请号:US18614542

    申请日:2024-03-22

    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 utilizing patterns and logical entities

    公开(公告)号:US11520782B2

    公开(公告)日:2022-12-06

    申请号:US17217881

    申请日:2021-03-30

    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.

    TECHNIQUES FOR UTILIZING PATTERNS AND LOGICAL ENTITIES

    公开(公告)号:US20220114168A1

    公开(公告)日:2022-04-14

    申请号:US17217881

    申请日:2021-03-30

    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.

    TECHNIQUES FOR UTILIZING PATTERNS AND LOGICAL ENTITIES

    公开(公告)号:US20230055129A1

    公开(公告)日:2023-02-23

    申请号:US17980412

    申请日:2022-11-03

    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.

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