RELATIONSHIP DISCOVERY IN STRUCTURED DATA AND SHORTEST PATH TO DATA

    公开(公告)号:US20250021586A1

    公开(公告)日:2025-01-16

    申请号:US18350143

    申请日:2023-07-11

    Abstract: A method for learning potential correlation of data structures and fields across multiple disparate data sources. The method automatically identifies relationships that exist in multiple data sources to facilitate a data broker that can return the “shortest-path-to-data”. The method includes communicating with a data lake that integrates access to data stored in a plurality of different data sources. The method next includes correlating, via the data lake, data fields in data sets across the plurality of different data sources to identify relationships across the plurality of different data sources. A request to access data is obtained, and the method determines that data for the request is stored in two or more data sources of the plurality of different data sources, selects a particular data source of the two or more data sources and retrieves the data for the request from the particular data source.

    State identity vector for system self awareness

    公开(公告)号:US10826771B2

    公开(公告)日:2020-11-03

    申请号:US16145584

    申请日:2018-09-28

    Abstract: Techniques for system self-assessment using a state identity vector are described. In one embodiment, a method includes obtaining a policy that includes a combination of a plurality of features and a set of desired values for the features. The method also includes comparing the policy to a device fingerprint for a network device and determining compliance with the policy based on the comparison between the device fingerprint and the combination of features. The device fingerprint comprises a multi-bit word having a plurality of positions, with each position representing a feature associated with the network device. Upon determining that the network device is not in compliance with one or more features included in the combination of features of the policy, the method includes implementing a responsive action by the network device according to a schema that defines instructions for each feature represented by the plurality of positions in the device fingerprint.

    STATE IDENTITY VECTOR FOR SYSTEM SELF AWARENESS

    公开(公告)号:US20200106673A1

    公开(公告)日:2020-04-02

    申请号:US16145584

    申请日:2018-09-28

    Abstract: Techniques for system self-assessment using a state identity vector are described. In one embodiment, a method includes obtaining a policy that includes a combination of a plurality of features and a set of desired values for the features. The method also includes comparing the policy to a device fingerprint for a network device and determining compliance with the policy based on the comparison between the device fingerprint and the combination of features. The device fingerprint comprises a multi-bit word having a plurality of positions, with each position representing a feature associated with the network device. Upon determining that the network device is not in compliance with one or more features included in the combination of features of the policy, the method includes implementing a responsive action by the network device according to a schema that defines instructions for each feature represented by the plurality of positions in the device fingerprint.

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