Steven W Talbot

US Patent:

20220222083, Jul 14, 2022

Filed:

Jan 11, 2021

Appl. No.:

17/145698

Inventors:

- Mountain View CA, US
Michael Toy - Los Altos CA, US
Aryeh Hillman - Mountain View CA, US
Steven Talbot - Santa Cruz CA, US
Kevin F. McCarthy - Mountain View CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 9/445
G06F 30/20

Abstract:

A method for the lightweight extension of a data model includes first loading into memory, an extension document referencing a model document in a data analytics system. The model document defines a data model and the extension document extends the data model with at least one modification to the data model. The method then includes extracting from the extension document, the modification to the data model. Finally, the method includes creating in the memory the data model from the model document combined with the modification so as to produce an extension to the data model without processing a redeclaration of a view of the data model in the extension document.

US Patent:

20210334281, Oct 28, 2021

Filed:

Jul 6, 2021

Appl. No.:

17/305387

Inventors:

- Mountain View CA, US
Steven Talbot - Santa Cruz CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 16/2453
G06F 16/2455

Abstract:

A method of computing a join pattern agnostic aggregate function includes loading source code and parsing the source code to identify different database query operations. In response to the identification of an aggregate function in one of the different database query operations in which records in multiple tables are joined together in a table join, a multiplicity of primary keys are retrieved, each corresponding to a different one of the multiple tables and also an object of one of the tables referenced by the identified aggregate function. An existence of a fan out condition associated with the table join is then computed. On condition that an existence of the fan out condition is not computed a non-fan out sensitive implementation of the aggregate function is invoked with respect to the object. But, otherwise, a different, fan-out sensitive implementation of the aggregate function is invoked with respect to the object.

US Patent:

20210294987, Sep 23, 2021

Filed:

Mar 20, 2020

Appl. No.:

16/824902

Inventors:

- Mountain View CA, US
Steven Talbot - Santa Cruz CA, US

Assignee:

Google LLC - Mountain View CA

International Classification:

G06F 40/51
G06F 40/263

Abstract:

Embodiments of the invention provide a method, system and computer program product for model localization. In an embodiment of the invention, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.

US Patent:

20210124781, Apr 29, 2021

Filed:

Oct 29, 2019

Appl. No.:

16/666736

Inventors:

- Mountain View CA, US
Steven Talbot - Santa Cruz CA, US
Michael Toy - Los Altos CA, US
Wil Glessler - San Francisco CA, US
Colin Zima - San Francisco CA, US
Julian Hyde - Berkeley CA, US

International Classification:

G06F 16/9038
G06F 16/903
G06F 16/901

Abstract:

Embodiments of the present invention provide a method, system and computer program product for single view presentation of multiple query. In an embodiment of the invention, a method for single view presentation of multiple query includes directing a query against a database along a selected dimension of multiple different elements. In response, a primary result set is received. The result set is then organized into a tabular view of cells according to the selected dimension and values for the selected dimension. Thereafter, a set of nested queries may be directed for each of the elements in the selected dimension against the result set utilizing a different dimension. In response to each directed set of nested queries, a corresponding result set is thus received. Finally, each corresponding result set is inserted into a cell associated with a common one of the elements.

US Patent:

20200349159, Nov 5, 2020

Filed:

May 3, 2019

Appl. No.:

16/403492

Inventors:

- Santa Cruz CA, US
Steven Talbot - Santa Cruz CA, US

International Classification:

G06F 16/2453
G06F 16/2455

Abstract:

A method of computing a join pattern agnostic aggregate function includes loading source code and parsing the source code to identify different database query operations. In response to the identification of an aggregate function in one of the different database query operations in which records in multiple tables are joined together in a table join, a multiplicity of primary keys are retrieved, each corresponding to a different one of the multiple tables and also an object of one of the tables referenced by the identified aggregate function. An existence of a fan out condition associated with the table join is then computed. On condition that an existence of the fan out condition is not computed a non-fan out sensitive implementation of the aggregate function is invoked with respect to the object. But, otherwise, a different, fan-out sensitive implementation of the aggregate function is invoked with respect to the object.