Accessing external resources using remotely stored credentials

    公开(公告)号:US11736483B2

    公开(公告)日:2023-08-22

    申请号:US18050909

    申请日:2022-10-28

    Applicant: Snowflake Inc.

    CPC classification number: H04L63/0884 G06F21/31 H04L63/083 H04L63/10

    Abstract: A credentials store definition identifying a remote credential store is received. The credential store definition includes access information to enable access to the remote credentials store. A credentials object is created in an internal database based on a credentials object definition. The credentials object identifies a security credential to retrieve from the remote credentials store to access an external resource. At runtime, a request to access the external resource is received, and based on receiving the request, the security credentials identified by the credentials object are retrieved from the remote credential store using the access information. The retrieved security credential is provided to a processing component to access the external resource.

    Secure continuous compliance enforcement on a data exchange system

    公开(公告)号:US11734451B1

    公开(公告)日:2023-08-22

    申请号:US17931424

    申请日:2022-09-12

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6254 G06F16/2445

    Abstract: An exchange template framework for a data platform. A data provider of the data platform instructs the data platform to generate an exchange template based on compliance rules. In response to determining by the data platform to initiate a compliance report, the data platform maps evidence items for the compliance report from one or more source tables using a data field mapper of the exchange template. The data platform generates compliance program specific views based on the evidence items mapped from the source tables and generates an anonymized view based on the compliance program specific views using an anonymization layer of the exchange template. The data platform provides the anonymized view to an assessor using one or more validation scripts of the exchange template.

    Analyzing query comments for identifying potential software bugs

    公开(公告)号:US11726996B2

    公开(公告)日:2023-08-15

    申请号:US17654147

    申请日:2022-03-09

    Applicant: Snowflake Inc.

    Inventor: Orestis Kostakis

    CPC classification number: G06F16/245 G06F11/362

    Abstract: Disclosed herein are embodiments of systems and methods for analyzing query comments for identifying potential software bugs. In an example, a data platform obtains query comments associated with a query. Based on determining that the query comments include a reference to a software bug of the data platform, the data platform generates a software-bug alert based on the query comments, and transmits the software-bug alert to an endpoint.

    ORGANIZING, DISCOVERING AND EVALUATING MARKETPLACE DATASETS AND SERVICES BY INDUSTRY BUSINESS NEEDS

    公开(公告)号:US20230252179A1

    公开(公告)日:2023-08-10

    申请号:US17665027

    申请日:2022-02-04

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure provide techniques for associating use case data with data listings in a structured manner, thereby allowing for data listings to be organized and/filtered based on use case information. A processing device may provide a listing creation interface that is used to assign a set of use cases to a first data listing and publish the data listing on a data exchange. The data listing is one of a plurality of data listings published on the data exchange and the processing device may provide a data listing interface for displaying the plurality of data listings and an interactable menu including a selectable indication of each of the plurality of use cases. In response to receiving a selection of one or more of the plurality of use cases via the interactable menu, the processing device may display in the data listing interface, each of the plurality of data listings that have been assigned any of the selected one or more use cases.

    METADATA CLASSIFICATION
    120.
    发明公开

    公开(公告)号:US20230222142A1

    公开(公告)日:2023-07-13

    申请号:US18124415

    申请日:2023-03-21

    Applicant: SNOWFLAKE INC.

    CPC classification number: G06F16/285 G06N5/01 G06F16/221

    Abstract: Systems and method are disclosed that retrieve data from a data set organized in a plurality of columns. For each column in the plurality of columns, the systems and method generate one or more candidate semantic categories for the column, where each of the one or more candidate semantic categories has a corresponding probability. The systems and method create a feature vector for the column from the one or more candidate semantic categories and the corresponding probabilities. The systems and method determine a semantic category type of the column based on the feature vector. The systems and method anonymize the data in the column based on the semantic category type, which includes replacing more specific data in the column with less specific data based on a data hierarchy that relates the more specific data to the less specific data.

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