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US Patent 9990230 Scheduling a notebook execution

Patent 9990230 was granted and assigned to Databricks on June, 2018 by the United States Patent and Trademark Office.

Overview Structured Data Issues Contributors

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Patent attributes

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

Eric Liang1

Ion Stoica1

Yandong Mao1

Date of Patent

June 5, 2018

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Patent Application Number

150522041

Date Filed

February 24, 2016

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Patent Citations Received

US Patent 11669540 Matching subsets of tabular data arrangements to subsets of graphical data arrangements at ingestion into data-driven collaborative datasets

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US Patent 11675808 Dataset analysis and dataset attribute inferencing to form collaborative datasets

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US Patent 11755602 Correlating parallelized data from disparate data sources to aggregate graph data portions to predictively identify entity data

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 11782747 System and method for notebook processing to handle job execution in cross-cloud environment

US Patent 11928596 Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization

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US Patent 11941140 Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization

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

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Patent Primary Examiner

1

Patent abstract

A system for scheduling a notebook execution includes an interface and a processor. The interface is to receive an indication to schedule a notebook for execution, wherein the indication comprises a scheduled time and a cluster. The processor is to determine whether it is the scheduled time; and in the event that it is the scheduled time: determine whether the cluster is running; and in the event that the cluster is not running, set up the cluster and cause the notebook to execute using the cluster.

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