ROW-LEVEL AND COLUMN-LEVEL POLICY SERVICE

    公开(公告)号:US20220121767A1

    公开(公告)日:2022-04-21

    申请号:US17646341

    申请日:2021-12-29

    Abstract: Example embodiments relate to a policy service employed to perform operations to: generate and maintain a data-set that comprises at least a column and a row that intersect at a cell; assign an access policy to a row or column of the data-set, wherein the access policy is defined by one or more access credentials required to receive access the cell that intersect with the row or column; receive a request to read the data-set from a user account, wherein the user account has an associated credential; filter the cell that intersects with the row or column of the data-set based on the access policy and the credential of the user account, in response to receiving the request from the user account; and provide the user account with access to the filtered data-set.

    Row-level and column-level policy service

    公开(公告)号:US11244063B2

    公开(公告)日:2022-02-08

    申请号:US16005264

    申请日:2018-06-11

    Abstract: Example embodiments relate to a policy service employed to perform operations to: generate and maintain a data-set that comprises at least a column and a row that intersect at a cell; assign an access policy to a row or column of the data-set, wherein the access policy is defined by one or more access credentials required to receive access the cell that intersect with the row or column; receive a request to read the data-set from a user account, wherein the user account has an associated credential; filter the cell that intersects with the row or column of the data-set based on the access policy and the credential of the user account, in response to receiving the request from the user account; and provide the user account with access to the filtered data-set.

    Intelligent compute request scoring and routing

    公开(公告)号:US12229150B2

    公开(公告)日:2025-02-18

    申请号:US16793881

    申请日:2020-02-18

    Abstract: A system and methods for determining computer resource allocation, the system having a network communication interface configured to receive a query from a device, the query indicating a request to perform a processing operation on a portion of one or more data set. The system may also include data storage for data including historical information related to processing of data sets by back-end computer resources, and hardware processors configured to determine one or more scores associated with a query and based at least in part on the historical information. The system may determine a particular back-end computer resource with a highest score, provide a compute request to the particular back-end computer resource to perform a processing operation on a portion of one or more data sets, and store processing information related to the processing of the compute request by the particular back-end computer resource as historical information.

    INTELLIGENT COMPUTE REQUEST SCORING AND ROUTING

    公开(公告)号:US20200183945A1

    公开(公告)日:2020-06-11

    申请号:US16793881

    申请日:2020-02-18

    Abstract: A system and methods for determining computer resource allocation, the system having a network communication interface configured to receive a query from a device, the query indicating a request to perform a processing operation on a portion of one or more data set. The system may also include data storage for data including historical information related to processing of data sets by back-end computer resources, and hardware processors configured to determine one or more scores associated with a query and based at least in part on the historical information. The system may determine a particular back-end computer resource with a highest score, provide a compute request to the particular back-end computer resource to perform a processing operation on a portion of one or more data sets, and store processing information related to the processing of the compute request by the particular back-end computer resource as historical information.

    INTELLIGENT COMPUTE REQUEST SCORING AND ROUTING

    公开(公告)号:US20200081992A1

    公开(公告)日:2020-03-12

    申请号:US16175371

    申请日:2018-10-30

    Abstract: A system and methods for determining computer resource allocation, the system having a network communication interface configured to receive a query from a device, the query indicating a request to perform a processing operation on a portion of one or more data set. The system may also include data storage for data including historical information related to processing of data sets by back-end computer resources, and hardware processors configured to determine one or more scores associated with a query and based at least in part on the historical information. The system may determine a particular back-end computer resource with a highest score, provide a compute request to the particular back-end computer resource to perform a processing operation on a portion of one or more data sets, and store processing information related to the processing of the compute request by the particular back-end computer resource as historical information.

    PROBABILISTICALLY PRIORITIZED PROCESSING QUEUE

    公开(公告)号:US20230315519A1

    公开(公告)日:2023-10-05

    申请号:US18125999

    申请日:2023-03-24

    CPC classification number: G06F9/4881

    Abstract: A system and methods for queuing processing jobs. The system is configured to receive a processing job associated with a user; score the processing job; apply one or more bounds; add the processing job to a queue; order the queue based on scores of processing jobs in the queue; and sample processing jobs from the queue for dispatch for processing. Sampling the jobs from the queues can comprise updating scores, updating application of bounds, and updating ordering of the queue; reading a batch of processing jobs from a top of the queue; attempting to dispatch the processing jobs of the batch for processing; removing from the queue any dispatched processing jobs; increasing the batch size by a constant factor; determining whether a maximum batch size is reached, or all processing jobs in the queue were in the batch.

    Data record resolution and correlation system

    公开(公告)号:US11106692B1

    公开(公告)日:2021-08-31

    申请号:US15667413

    申请日:2017-08-02

    Abstract: Methods, systems and apparatus, including computer programs encoded on computer storage media for a data record resolution and correlation system. One of the methods includes obtaining data sets each including records associated with entities, the records each specifying information for a plurality of aspects of an entity, the information being encoded in the records, for each of the data sets, according to a respective format. One or more bundles are determined from the data sets, with each bundle indicating records determined to be associated with a same entity and determined using similarity rules that compare aspects specified in the records. Information describing a particular bundle is presented to a reviewing user, and the reviewing user can specify one or more records included in the particular bundle that are properly matched. The particular bundle can be updated based on the reviewing user's specification.

    SYSTEMS AND METHODS FOR MANAGING QUERIES FROM DIFFERENT TYPES OF CLIENT APPLICATIONS

    公开(公告)号:US20220318242A1

    公开(公告)日:2022-10-06

    申请号:US17843390

    申请日:2022-06-17

    Abstract: Systems and methods provide a first group of computation modules configured to provide back-end compute resources for a first type of computation module by back-end compute resources. Systems and methods provide a second group of computation modules that are configured to provide back-end compute resources for a second type of computation module wherein the first and second type of computation modules are of different types. In some examples, methods and systems identify the type of computation module needed by each of a plurality of queries associated with different types of client applications based on computation module type data associated with each query and route each of the plurality of queries to an appropriate computation module within the first or second computation modules based on the computation module type data. Related methods are also disclosed.

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