AUXILIARY QUERY COMMANDS TO DEPLOY PREDICTIVE DATA MODELS FOR QUERIES IN A NETWORKED COMPUTING PLATFORM

    公开(公告)号:US20230359615A1

    公开(公告)日:2023-11-09

    申请号:US17740077

    申请日:2022-05-09

    CPC classification number: G06F16/2445 G06F16/24553 G06F16/248 G06F16/252

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools to deploy predictive data models based on in-situ auxiliary query commands implemented in a query, and configured to facilitate development and management of data projects by providing an interactive, project-centric workspace interface coupled to collaborative computing devices and user accounts. For example, a method may include activating a query engine, implementing a subset of auxiliary instructions, at least one auxiliary instruction being configured to access model data, receiving a query that causes the query engine to access the model data, receiving serialized model data, performing a function associated with the serialized model data, and generating resultant data.

    Matching subsets of tabular data arrangements to subsets of graphical data arrangements at ingestion into data-driven collaborative datasets

    公开(公告)号:US11669540B2

    公开(公告)日:2023-06-06

    申请号:US17004570

    申请日:2020-08-27

    CPC classification number: G06F16/258 G06F16/221 G06F16/9024

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform to identify and match equivalent subsets of data between an ingested dataset, such as in a tabular data arrangement, and one or more graph-based data arrangements, according to at least some examples. For example, a method may include identifying a tabular data arrangement including a subset of data as a column, computing a compressed data representation for a column of data, correlating a compressed data representation to a reference compressed data representations, detecting a link between a column of data associated with a correlated compressed data representation to a dataset stored in a graph data arrangement, and forming an expanded tabular data arrangement.

    Predictive determination of constraint data for application with linked data in graph-based datasets associated with a data-driven collaborative dataset platform

    公开(公告)号:US11573948B2

    公开(公告)日:2023-02-07

    申请号:US17163287

    申请日:2021-01-29

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform to implement predict data constraints to validate one or more portions of a dataset, according to at least some examples. For example, a method may include predicting a subset of constraint data to validate a graph-based data arrangement, and analyzing the graph-based data arrangement against a subset of constraint data to determine an action. At least one action may include validating data in a graph-based data arrangement. Also, the method may include integrating graph-based data arrangement into a graph data arrangement responsive to determining data representing a validation.

    QUERY GENERATION FOR COLLABORATIVE DATASETS

    公开(公告)号:US20230009198A1

    公开(公告)日:2023-01-12

    申请号:US17728825

    申请日:2022-04-25

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to provide an interface between repositories of disparate datasets and computing machine-based entities that seek access to the datasets, and, more specifically, to a computing and data storage platform that facilitates consolidation of one or more datasets, whereby a collaborative data layer and associated logic facilitate, for example, efficient access to, and implementation of, collaborative datasets. In some examples, a method may include receiving data representing a query of a consolidated dataset that may include datasets formatted atomized datasets, analyzing the query to classify portions of the query to form classified query portions, partitioning the query into sub-queries as a function of a classification type for each of the classified query portions, and retrieving data representing a query result from distributed data repositories.

    Auxiliary query commands to deploy predictive data models for queries in a networked computing platform

    公开(公告)号:US11327991B2

    公开(公告)日:2022-05-10

    申请号:US16899549

    申请日:2020-06-11

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform configured to provide one or more computerized tools to deploy predictive data models based on in-situ auxiliary query commands implemented in a query, and configured to facilitate development and management of data projects by providing an interactive, project-centric workspace interface coupled to collaborative computing devices and user accounts. For example, a method may include activating a query engine, implementing a subset of auxiliary instructions, at least one auxiliary instruction being configured to access model data, receiving a query that causes the query engine to access the model data, receiving serialized model data, performing a function associated with the serialized model data, and generating resultant data.

    PREDICTIVE DETERMINATION OF CONSTRAINT DATA FOR APPLICATION WITH LINKED DATA IN GRAPH-BASED DATASETS ASSOCIATED WITH A DATA-DRIVEN COLLABORATIVE DATASET PLATFORM

    公开(公告)号:US20210224250A1

    公开(公告)日:2021-07-22

    申请号:US17163287

    申请日:2021-01-29

    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and wired and wireless network communications to interface among repositories of disparate datasets and computing machine-based entities configured to access datasets, and, more specifically, to a computing and data storage platform to implement predict data constraints to validate one or more portions of a dataset, according to at least some examples. For example, a method may include predicting a subset of constraint data to validate a graph-based data arrangement, and analyzing the graph-based data arrangement against a subset of constraint data to determine an action. At least one action may include validating data in a graph-based data arrangement. Also, the method may include integrating graph-based data arrangement into a graph data arrangement responsive to determining data representing a validation.

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