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    Accessing listings in a data exchange
    12.
    发明授权
    Accessing listings in a data exchange 有权

    公开(公告)号：US11599550B2

    公开(公告)日：2023-03-07

    申请号：US17839248

    申请日：2022-06-13

    Applicant: Snowflake Inc.

    Inventor： Pui Kei Johnston Chu ,  Benoit Dageville ,  Matthew J. Glickman ,  Christian Kleinerman ,  Prasanna Krishnan ,  Justin Langseth

    IPC: G06F16/2455 ,  G06F16/25 ,  G06F21/62

    Abstract: A method of operating a data exchange includes creating a first listing referencing data of a first database of a plurality of databases, wherein the first listing comprises access controls and a data share associated with a first user, the access controls defining portions of the first database that are accessible by a second user, receiving a request from the second user for a bidirectional share between the portions of the first database that are accessible by the second user and portions of a second database controlled by the second user, and receiving an instruction from the first user to perform a database operation referencing data of the bidirectional share between the portions of the first database that are accessible by the second user and the portions of the second database controlled by the second user.

    Sharing cloud data with an application
    13.
    发明授权
    Sharing cloud data with an application 有权

    公开(公告)号：US11544401B2

    公开(公告)日：2023-01-03

    申请号：US17659732

    申请日：2022-04-19

    Applicant: Snowflake Inc.

    Inventor： Christopher Peter Child ,  Matthew J. Glickman ,  Justin Langseth

    IPC: G06F3/06 ,  G06F21/62 ,  G06F21/31 ,  G06F16/248 ,  G06F16/2457 ,  G06F16/28 ,  G06F16/25

    Abstract: Security credentials associated with a first account maintained by a database system are authenticated. Based on authenticating the security credentials, a user interface element is provided to enable sharing of customer data associated with the first account with an application. A request to share customer data with the application is received. Based on the request, third-party data that is accessible by the first account is identified. The third-party data corresponds to a second account maintained by the database system. The second account corresponds to a third-party data provider. The application is enabled to access cloud data associated with the first account based on the request. The cloud data comprises the customer data and the third-party data.

    Enabling application access to cloud data
    14.
    发明授权
    Enabling application access to cloud data 有权

    公开(公告)号：US11341264B1

    公开(公告)日：2022-05-24

    申请号：US17646191

    申请日：2021-12-28

    Applicant: Snowflake, Inc.

    Inventor： Christopher Peter Child ,  Matthew J. Glickman ,  Justin Langseth

    IPC: G06F3/06 ,  G06F21/62 ,  G06F16/2457 ,  G06F16/28 ,  G06F16/248 ,  G06F21/31

    Abstract: Security credentials associated with a first account maintained by a database system are authenticated. Based on authenticating the security credentials, a user interface element is provided to enable sharing of customer data associated with the first account with an application. A request to share customer data with the application is received. Based on the request, third-party data that is accessible by the first account is identified. The third-party data corresponds to a second account maintained by the database system. The second account corresponds to a third-party data provider. The application is enabled to access cloud data associated with the first account based on the request. The cloud data comprises the customer data and the third-party data.

    Modifying membership rights in a data exchange
    17.
    发明授权
    Modifying membership rights in a data exchange 有权

    公开(公告)号：US10999288B2

    公开(公告)日：2021-05-04

    申请号：US17027863

    申请日：2020-09-22

    Applicant: SNOWFLAKE INC.

    Inventor： Pui Kei Johnston Chu ,  Benoit Dageville ,  Matthew J. Glickman ,  Christian Kleinerman ,  Prasanna Krishnan ,  Justin Langseth

    IPC: H04L29/06 ,  H04L12/58 ,  G06F16/2455 ,  H04L12/24 ,  H04L29/08

    Abstract: Systems and methods for managing membership in a private data exchange are provided herein. In one embodiment, the method comprises adding a new member to a data exchange, wherein the data exchange comprises a set of listings, each listing comprising data from one or more datasets stored on a cloud computing service. An account type is assigned to the new member, the account type comprising at least one of a consumer type, provider type, or exchange administrator type. Each of the account types associated with one or more rights with respect to the set of listings, such that the new member has a set of rights based on the account type. The set of rights of the new member are then modified with respect to one or more listings from the set of listings based on a set of visibility and access rules for each of the set of listings.

    AUTOMATED MACHINE LEARNING FOR NETWORK-BASED DATABASE SYSTEMS
    19.
    发明公开
    AUTOMATED MACHINE LEARNING FOR NETWORK-BASED DATABASE SYSTEMS 审中-公开

    公开(公告)号：US20240062098A1

    公开(公告)日：2024-02-22

    申请号：US17821587

    申请日：2022-08-23

    Applicant: Snowflake Inc.

    Inventor： Rachel Frances Blum ,  Nancy Dou ,  Matthew J. Glickman ,  Boxin Jiang ,  Orestis Kostakis ,  Justin Langseth ,  Michael Earle Rainey ,  Haoran Yu

    IPC: G06N20/00

    CPC classification number: G06N20/00

    Abstract: The subject technology receives first party training data provided by an end-user of a baseline machine learning model. The subject technology determines a first set of common features based on the first party training data. The subject technology receives, from at least one data source. The subject technology determines a second set of common features based on the set of datasets. The subject technology trains, using the first set of common features and the second set of common features, a second machine learning model, the second machine learning model incorporating additional training data from the external data supplier during training compared to the baseline machine learning model. The subject technology generates a boosted machine learning model based at least in part on the training, the boosted machine learning model comprising the trained second machine learning model.

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