DATA CLEAN ROOMS USING DEFINED ACCESS WITH HOMOMORPHIC ENCRYPTION

    公开(公告)号:US20230401334A1

    公开(公告)日:2023-12-14

    申请号:US18217163

    申请日:2023-06-30

    Applicant: Snowflake Inc.

    CPC classification number: G06F21/6245 G06F21/53 G06F2221/032

    Abstract: A data platform creates an application in a data-provider account, where the application includes one or more application programming interfaces (APIs) corresponding to one or more underlying code blocks. The data platform shares homomorphically encrypted provider data with the application in the data-provider account. The data platform installs, in a data-consumer account, an application instance of the application. The data platform shares homomorphically encrypted consumer data with the application instance in the data-consumer account. The data platform invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account, and which operate on the shared homomorphically encrypted provider data and the shared homomorphically encrypted consumer data. The data platform saves homomorphically encrypted output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    System for implementing an object sharing framework

    公开(公告)号:US11514057B2

    公开(公告)日:2022-11-29

    申请号:US17689463

    申请日:2022-03-08

    Applicant: Snowflake Inc.

    Abstract: A method of implementing object tagging framework starts with the processor receiving a tag creation command including a tag name. In response to the tag creation command, the processor creates a current tag. The processor then receives an association command, the tag name and a source object identifier. The processor determines a source object associated with the source object identifier. The source object includes a tag value. The processor associates the current tag with the source object. The processor receives a replication command including the source object and a target object. The processor causes replication of the source object to the target object that comprises replicating the current tag with the tag name and the tag value in the source object to the target object. Other embodiments are also described herein.

    ROW-LEVEL SECURITY
    14.
    发明申请

    公开(公告)号:US20220138342A1

    公开(公告)日:2022-05-05

    申请号:US17083732

    申请日:2020-10-29

    Applicant: Snowflake Inc.

    Abstract: Row-level security (RLS) may provide fine-grained access control based on flexible, user-defined access policies to databases, tables, objects, and other data structures. A RLS policy may be an entity or object that defines rules for row access. A RLS policy may be decoupled or independent from any specific table. This allows more robust and flexible control. A RLS policy may then be attached to one or more tables. The RLS policy may include a Boolean-valued expression.

    DATA CLEAN ROOMS USING DEFINED ACCESS

    公开(公告)号:US20250111083A1

    公开(公告)日:2025-04-03

    申请号:US18977758

    申请日:2024-12-11

    Applicant: Snowflake Inc.

    Abstract: In an embodiment, a data platform creates an application in a data-provider account. The application includes one or more APIs corresponding to one or more underlying code blocks. The data platform shares provider data with the application in the data-provider account, and also installs, in a data-consumer account, an application instance of the application. The application instance includes one or more APIs corresponding to the one or more APIs in the application in the data-provider account. The data platform shares consumer data with the application instance in the data-consumer account, and invokes one or more of the APIs of the application instance to execute respective associated underlying code blocks, which are not visible to the data-consumer account. The data platform also saves output of the one or more respective associated underlying code blocks locally within the data-consumer account.

    Hierarchical object tagging framework

    公开(公告)号:US12216662B2

    公开(公告)日:2025-02-04

    申请号:US18447231

    申请日:2023-08-09

    Applicant: Snowflake Inc.

    Abstract: A method of implementing object tagging framework starts with the processor receiving a tag creation command including a tag name. In response to the tag creation command, the processor creates a current tag. The processor then receives an association command, the tag name and a target object identifier. The processor determines a target object associated with the target object identifier. The target object includes a tag value. The processor associates the current tag with the target object. The processor identifies a first child object of the target object. The target object and the first child object are hierarchical objects. In response to determining that the first child object is tag-unassociated, the processor associates the current tag with the first child object. In response to receiving a query including the tag name, the processor generates an output based on the tag name. Other embodiments are also described herein.

    COLUMN HIDING MANAGEMENT SYSTEM
    17.
    发明申请

    公开(公告)号:US20240427924A1

    公开(公告)日:2024-12-26

    申请号:US18823014

    申请日:2024-09-03

    Applicant: Snowflake Inc.

    Abstract: Systems and methods for managing column hiding are provided. The systems and methods receive, from a client device, a query associated with a table. The systems and methods determine an access restriction associated with the client device. The systems and methods identify a column of the table that is restricted by the access restriction associated with the client device. In response to identifying the column of the table that is restricted by the access restriction associated with the client device, the systems and methods provide a result of the query that excludes data corresponding to the column.

    BUILT-IN DATA QUALITY MONITORING
    18.
    发明申请

    公开(公告)号:US20240403276A1

    公开(公告)日:2024-12-05

    申请号:US18326158

    申请日:2023-05-31

    Applicant: Snowflake Inc.

    Abstract: Described herein are techniques for data quality monitoring in a network-based data system. A data metric function used to evaluate data quality can be stored, where the data metric function is defined as schema level object. The data metric function can be attached to a table associated with an account and is evaluated on data associates with the table to generate evaluation results. The evaluation results can be stored in an account-specific central database, from which access is provided to the evaluation results to a user for the account.

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