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US Patent 10936585 Unified data processing across streaming and indexed data sets

Patent 10936585 was granted and assigned to Splunk on March, 2021 by the United States Patent and Trademark Office.

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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
109365851
Patent Inventor Names
Eric Sammer1
Joseph Gabriel Echeverria1
Sarah Stanger1
Arthur Foelsche1
Date of Patent
March 2, 2021
1
Patent Application Number
161772341
Date Filed
October 31, 2018
1
Patent Citations
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US Patent 10614132 GUI-triggered processing of performance data and log data from an information technology environment
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US Patent 10437653 Efficient event notification
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US Patent 10691523 Generating notification visualizations based on event pattern matching
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US Patent 10127258 Event time selection output techniques
1
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US Patent 10049160 Processing a system search request across disparate data collection systems
Patent Citations Received
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US Patent 12130829 Generation of modified queries using a field value for different fields
7
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US Patent 11475154 Agent-based file repository indexing and full-text faceted search system
8
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US Patent 11494386 Distributed metadata-based cluster computing
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US Patent 11544285 Automated transformation of hierarchical data from a source data format to a target data format
11
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US Patent 11550847 Hashing bucket identifiers to identify search nodes for efficient query execution
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US Patent 11567993 Copying buckets from a remote shared storage system to memory associated with a search node for query execution
14
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US Patent 12072793 Function result prediction
15
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US Patent 12072913 Unhandled data protection for programmatic input/output routing to datasets with user-defined partitions
16
...
Patent Primary Examiner
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Hung D Le
1
Patent abstract

Systems and methods are described for unified processing of indexed and streaming data. A system enables users to query indexed data or specify processing pipelines to be applied to streaming data. In some instances, a user may specify a query intended to be run against indexed data, but may specify criteria that includes not-yet-indexed data (e.g., a future time frame). The system may convert the query into a data processing pipeline applied to not-yet-indexed data, thus increasing the efficiency of the system. Similarly, in some instances, a user may specify a data processing pipeline to be applied to a data stream, but specify criteria including data items outside the data stream. For example, a user may wish to apply the pipeline retroactively, to data items that have already exited the data stream. The system can convert the pipeline into a query against indexed data to satisfy the users processing requirements.

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