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US Patent 10296329 Callable notebook for cluster execution

Patent 10296329 was granted and assigned to Databricks on May, 2019 by the United States Patent and Trademark Office.

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Patent Applicant

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Timothee Hunter0

Ali Ghodsi0

Ion Stoica0

Date of Patent

May 21, 2019

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Patent Application Number

158036040

Date Filed

November 3, 2017

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Patent Citations Received

US Patent 12117997 Auxiliary query commands to deploy predictive data models for queries in a networked computing platform

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US Patent 11947529 Generating and analyzing a data model to identify relevant data catalog data derived from graph-based data arrangements to perform an action

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US Patent 11947554 Loading collaborative datasets into data stores for queries via distributed computer networks

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US Patent 11947600 Content addressable caching and federation in linked data projects in a data-driven collaborative dataset platform using disparate database architectures

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US Patent 12008050 Computerized tools configured to determine subsets of graph data arrangements for linking relevant data to enrich datasets associated with a data-driven collaborative dataset platform

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US Patent 12061617 Consolidator platform to implement collaborative datasets via distributed computer networks

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US Patent 11468049 Data ingestion to generate layered dataset interrelations to form a system of networked collaborative datasets

US Patent 11238109 Computerized tools configured to determine subsets of graph data arrangements for linking relevant data to enrich datasets associated with a data-driven collaborative dataset platform

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Patent Primary Examiner

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Patent abstract

A system for processing a notebook includes an input interface and a processor. The input interface is to receive a first notebook. The notebook comprises code for interactively querying and viewing data. The processor is to load the first notebook into a shell. The shell receives one or more parameters associated with the first notebook. The shell executes the first notebook using a cluster.

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