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US Patent 12105740 Low-latency streaming analytics

Patent 12105740 was granted and assigned to Splunk on October, 2024 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Splunk
Splunk
1
Current Assignee
Splunk
Splunk
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
121057401
Patent Inventor Names
Byron Jason Shelden1
Claire Alexandria Tanner Semple1
Alexander William Cruise1
Date of Patent
October 1, 2024
1
Patent Application Number
183434201
Date Filed
June 28, 2023
1
Patent Citations
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US Patent 7912839 Method and apparatus for creating a non-uniform index structure for data
1
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US Patent 7937344 Machine data web
1
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US Patent 8065319 Runtime semantic query optimization for event stream processing
1
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US Patent 8112425 Time series search engine
1
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US Patent 8412696 Real time searching and reporting
1
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US Patent 8504565 Full text search capabilities integrated into distributed file systems— incrementally indexing files
1
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US Patent 8504620 Dynamic subject information generation in message services of distributed object systems
1
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US Patent 8589375 Real time searching and reporting
1
...
Patent Primary Examiner
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Kris E Mackes
1
CPC Code
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G06Q 10/10
1
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G06F 16/285
1
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G06F 16/24568
1
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G06F 16/288
1
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G06F 9/542
1
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G06F 11/30
1
Patent abstract

Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.

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