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US Patent 11238049 Revising catalog metadata based on parsing queries

Patent 11238049 was granted and assigned to Splunk on February, 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
112380490
Patent Inventor Names
Andrew Peters0
Christopher Madden Pride0
Manu Jose0
Scott Calvert0
Arun Ramani0
Alexander Douglas James0
Date of Patent
February 1, 2022
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Patent Application Number
162640190
Date Filed
January 31, 2019
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Patent Citations
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US Patent 11093564 Identifying configuration parameters for a query using a metadata catalog
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US Patent 10055410 Corpus-scoped annotation and analysis
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US Patent 10127258 Event time selection output techniques
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US Patent 11086869 Data intake and query system gateway
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US Patent 11157498 Query generation using a dataset association record of a metadata catalog
Patent Citations Received
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US Patent 12105776 Dynamic feature names
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US Patent 11567939 Lazy reassembling of semi-structured data
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US Patent 11573955 Data-determinant query terms
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US Patent 11366810 Index contention under high concurrency in a database system
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US Patent 11392578 Automatically generating metadata for a metadata catalog based on detected changes to the metadata catalog
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US Patent 11449508 Serverless data lake indexing subsystem and application programming interface
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US Patent 11860943 Method of “outcome driven data exploration” for datasets, business questions, and pipelines based on similarity mapping of business needs and asset use overlap
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US Patent 11893025 Scan set pruning for queries with predicates on semi-structured fields
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...
Patent Primary Examiner
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Diedra McQuitery
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Patent abstract

Systems and methods are disclosed for annotating a metadata catalog in a data intake and query system based on a query received by the data intake and query system. The metadata catalog can store information about datasets associated with the data intake and query system, including dataset configuration records of the datasets, which can be used to process queries for execution by the data intake and query system. The data intake and query system can receive a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system can parse the query to identify datasets and/or data fields associated with the query. Based on the identified datasets and/or fields, the data intake and query system can generate one or more annotations, and use the annotations to update the metadata catalog.

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