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US Patent 11409756 Creating and communicating data analyses using data visualization pipelines

Patent 11409756 was granted and assigned to Splunk on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Splunk
Splunk
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Current Assignee
Splunk
Splunk
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
114097560
Patent Inventor Names
Horst Werner0
Isabelle Park0
Date of Patent
August 9, 2022
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Patent Application Number
161477140
Date Filed
September 29, 2018
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Patent Citations
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US Patent 10877984 Systems and methods for filtering and visualizing large scale datasets
Patent Citations Received
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US Patent 11658864 Adaptive message retention
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US Patent 11709896 Systems and methods for retrieving and processing data
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US Patent 11762811 Computation module configured to estimate resource for target point from known resources of dots near the target point
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US Patent 11790008 Persisted queries and batch streaming
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US Patent 11836148 Data source correlation user interface
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US Patent 11880380 Intelligent data contextualization
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US Patent 11909608 Bifurcated telemetry data ingestion methods and systems
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US Patent 12001426 Supporting graph data structure transformations in graphs generated from a query to event data
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...
Patent Primary Examiner
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Raquel Perez-Arroyo
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CPC Code
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G06F 16/23
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G06F 16/904
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G06F 16/288
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G06F 16/248
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An integrated data analytics tool is described that enables users to efficiently create and communicate data analysis flows or storylines. The data analytics tool includes graphical user interfaces (GUIs) that enable users to create data analysis “pipelines” that serve as both a visual and technical representation of a data analysis flow. Among other features, a data analysis pipeline enables users to easily add and link related data visualizations in a pipeline, to update datasets and filters associated with data visualizations in a pipeline and to have those updates be propagated automatically to other visualizations in the pipeline, and to create side-by-side comparisons of visualizations based on different datasets/filters. Users presented with such data visualization pipelines can also interact with the visualizations and dynamically update a displayed analysis by selecting different datasets, filters, pipeline paths, and so forth.

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