Snowflake Inc. patent applications on February 20th, 2025
Patent Applications by Snowflake Inc. on February 20th, 2025
Snowflake Inc.: 6 patent applications
Snowflake Inc. has applied for patents in the areas of G06F16/25 (2), G06F16/215 (2), G06F16/23 (2), G06F11/14 (1), G06F16/27 (1) G06F11/1435 (1), G06F16/215 (1), G06F16/2365 (1), G06F21/6227 (1), G06F40/40 (1)
With keywords such as: data, entity, based, result, columns, confidence, listing, score, table, and referred in patent application abstracts.
Patent Applications by Snowflake Inc.
Inventor(s): Robert Bengt Benedikt Gernhardt of Seattle WA (US) for snowflake inc., Nithin Mahesh of Kirkland WA (US) for snowflake inc., Sahaj Saini of Seattle WA (US) for snowflake inc., Matthew Uhlar of Seattle WA (US) for snowflake inc.
IPC Code(s): G06F11/14, G06F16/25, G06F16/27
CPC Code(s): G06F11/1435
Abstract: this disclosure provides methods and techniques of data replication involving cross replication group (rg) references. the present disclosure avoids automatic replication failing when an entity in an rg refers to another entity external to the rg. the entity to be replicated within the rg is referred to as the “referring entity,” and the entity as the dangling reference is referred to as the “referred entity.” although the referring and referred entities are not replicated together in a replication operation, the referred entity may have already been replicated to the target account in another replication operation on a different replication group. in such cases, the data replication procedure may, according to aspects of the present disclosure, check if the referred entity has already been replicated, and if so, proceed to replicate the referring entity without fail, and link the referring and referred entities to enable normal functioning of the referring entity.
Inventor(s): Raja Suresh Krishna Balakrishnan of Fremont CA (US) for snowflake inc., Ganeshan Ramachandran Iyer of Redmond WA (US) for snowflake inc., David Schultz of Piedmont CA (US) for snowflake inc., Jian Xu of San Jose CA (US) for snowflake inc.
IPC Code(s): G06F16/215, G06F11/07, G06F16/23, G06F16/2453
CPC Code(s): G06F16/215
Abstract: provided herein are systems and methods for configuring integrity constraints (including a check constraint) and row violation logging using error tables. an example method includes decoding a query received at a network-based database system. the query includes a command to perform an operation on a base table. an integrity constraint associated with the base table is retrieved. the integrity constraint specifies a desired configuration for the base table. a verification of the integrity constraint is performed to detect erroneous data of the base table that violates the desired configuration. the erroneous data is input into an error table that is configured as a nested object of the base table. a notification that the erroneous data is available in the error table is generated and output.
Inventor(s): Abdullah Al Mahmood of Bothell WA (US) for snowflake inc., Ruta Dhaneshwar of Redmond WA (US) for snowflake inc., Max Heimel of Berlin (DE) for snowflake inc., Xin Huang of Bellevue WA (US) for snowflake inc., Canzhou Qu of Bellevue WA (US) for snowflake inc., Purav B. Saraiya of Kirkland WA (US) for snowflake inc., Konstantinos Zoumpatianos of Berlin (DE) for snowflake inc.
IPC Code(s): G06F16/23, G06F16/215, G06F16/25
CPC Code(s): G06F16/2365
Abstract: a data platform including an error handling framework for loading of input data. the data platform generates input data columns based on an input file and generates result data columns based on the input data columns and evaluating expressions. the data platform detects projection errors during the generating of the result data columns and stores result error indicators in error indicator arrays of the result data columns based on the projection errors. the data platform generates filtered result data columns based on the result data columns and the result error indicator arrays of the result data columns and stores the filtered result data columns in a database of the data platform.
20250061226. SECURE SHARING OF A DATA EXCHANGE LISTING_simplified_abstract_(snowflake inc.)
Inventor(s): Abhiram Arikapudi of Sammamish WA (US) for snowflake inc., Saurin Shah of Kirkland WA (US) for snowflake inc.
IPC Code(s): G06F21/62, G06F21/31, G06F21/44, G06F21/46, G06F21/78
CPC Code(s): G06F21/6227
Abstract: techniques for secure sharing of a data exchange listing includes retrieving a listing policy for a data listing of a private data exchange associated with a data provider. metadata of the data listing is generated. the metadata includes an access control configuration for the data listing. the access control configuration is based at least on the listing policy. a security function is invoked to stage data of the data listing based on an access request for the data listing. the invoking causes a modification of the stage data to obtain modified stage data. the access control configuration is updated based on the modification.
Inventor(s): Andrzej Szwabe of Poznan (PL) for snowflake inc.
IPC Code(s): G06F40/40, G06F40/284
CPC Code(s): G06F40/40
Abstract: examples provide enhanced machine learning model accuracy through post-hoc confidence score calibration. a machine learning (ml) system receives results generated by an ml model, the results comprising at least one confidence score and electronic documents. the ml system processes the results generated by the ml model comprising performing document understanding by extracting data points from the electronic documents. the ml system associates the confidence score with the extracted data points and calibrates a confidence score associated with the extracted data points using a post-hoc calibration solution set. the ml system implements confidence scoring recalibration comprising aligning the confidence score with prediction accuracy and adjusting the generated confidence score by the recalibration. based on adjusting the confidence score, the ml system extracts an individual element of information from the electronic documents comprising an extracted value. the ml system generates an output comprising the extracted values and an adjusted confidence score.
Inventor(s): Dhiraj Gupta of San Mateo CA (US) for snowflake inc., Laszlo Kovacs of Los Altos Hills CA (US) for snowflake inc., Subramanian Muralidhar of Mercer Island WA (US) for snowflake inc., Souptik Sen of San Mateo CA (US) for snowflake inc., Dangfu Wang of Fremont CA (US) for snowflake inc.
IPC Code(s): G06Q30/0201
CPC Code(s): G06Q30/0201
Abstract: a deployment infrastructure for sharing usage metrics with customers is described. an example method includes transforming a usage view file into an anonymous block build file. the usage view file corresponds to a view of customer usage data. the method includes embedding the anonymous block build file into a task, and executing the task to produce a share object that is based on the anonymous block build file. the method includes deploying the share object to a customer account, which enables the customer account to access the view of the customer usage data.
