DATA CLEAN ROOMS USING DEFINED ACCESS WITH HOMOMORPHIC ENCRYPTION

    公开(公告)号:US20230177210A1

    公开(公告)日:2023-06-08

    申请号:US18162506

    申请日:2023-01-31

    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.

    SHARED OBJECT DISCOVERY TECHNIQUES
    33.
    发明申请

    公开(公告)号:US20230135712A1

    公开(公告)日:2023-05-04

    申请号:US17980427

    申请日:2022-11-03

    Applicant: Snowflake Inc.

    Abstract: A consumer account may invoke an operation referencing a set of shared objects stored within a database of a provider account using an imported database that makes the set of shared objects available within the consumer account. A call context of the operation may be updated to cache the imported database, which references a share created from the provider account database, the share having grants to the set of shared objects. One or more database level objects may be discovered in a context of the share and each role granted to the share may be obtained based on the one or more database level objects. Whether any role granted to the share has access to any of the set of shared objects may be determined and the operation may be executed for each of the set of shared objects to which any role granted to the share has access.

    Stage replication in a cloud data lake

    公开(公告)号:US11620307B2

    公开(公告)日:2023-04-04

    申请号:US17396576

    申请日:2021-08-06

    Applicant: Snowflake Inc.

    Abstract: Described herein are techniques for replicating external stages between deployments of e.g., a cloud data lake using a modified storage integration. The modified storage integration may be defined with multiple storage locations that it can point to, as well as a designation of an active storage location. The storage integration may also be defined with base file paths for each storage location as well as a relative file path which together may serve to synchronize data loading operations between deployments when e.g., a fail-over occurs from one deployment to another. The storage integration may be replicated from a first deployment to a second deployment, and when database replication occurs, an external stage may be replicated to the second deployment and bound to the replicated storage integration. Thus, a fail-over to the second deployment may result in a seamless transition of data loading processes to the second deployment.

    ROW-LEVEL SECURITY
    36.
    发明申请

    公开(公告)号:US20230022027A1

    公开(公告)日:2023-01-26

    申请号:US17936681

    申请日:2022-09-29

    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.

    Materialized views over external tables in database systems

    公开(公告)号:US11507571B2

    公开(公告)日:2022-11-22

    申请号:US16385720

    申请日:2019-04-16

    Applicant: Snowflake Inc.

    Abstract: Systems, methods, and devices for generating a materialized view over an external table. A method includes connecting a database platform to an external table such that the database platform has read access for the external table and does not have write access for the external table. The method includes generating, by the database platform, a materialized view over the external table. The method includes receiving a notification that a modification has been made to the external table, the modification comprising one or more of an addition of a file, a deletion of a file, or an update to a file in a source location for the external table. The method includes, in response to the external table being modified, refreshing the materialized view such that the materialized view comprises an accurate representation of the external table.

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