LINKING DATA SET SUMMARIZATIONS USING AFFINITIES

    公开(公告)号:US20180314393A1

    公开(公告)日:2018-11-01

    申请号:US15582466

    申请日:2017-04-28

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed involving user interface (UI) search tools for visualizing or summarizing a data set. A number of summarizations may be created that summarizes the data set in different ways. The summarizations may be linked, such that selecting a data element of a first summarization causes display of a second summarization. To assist in linking of summarizations, a user interface is further provided to display suggested linkings between summarizations based on affinities of the two summarizations. Affinities can reflect similarities in the data content of the two summarizations, such as an output of a first summarization being a valid input to the second summarization.

    Ingest preview of events in a network computing environment

    公开(公告)号:US12197968B1

    公开(公告)日:2025-01-14

    申请号:US17875172

    申请日:2022-07-27

    Applicant: Splunk Inc.

    Abstract: A computing device receives an ingest preview request to preview events to be stored by at least one indexer. Responsive to the ingest preview request, the computing device sends a subscription request to the forwarders. The forwarders receive the subscription request and intercept the events that are being sent to at least one of the indexers. The forwarders then clone matching events to the subscription request and responds to the computing device with the matching events. When the computing device receives the matching events, the computing device adds the matching events to a dispatch directory. The user interface is then populated with events in the dispatch directory.

    Data stream integrity in a tiered blockchain structure

    公开(公告)号:US12118127B1

    公开(公告)日:2024-10-15

    申请号:US17514738

    申请日:2021-10-29

    Applicant: SPLUNK INC.

    CPC classification number: G06F21/64 H04L9/3236 H04L9/50

    Abstract: A machine data validation system can track and validate the integrity of machine data generated by machines. The system can generate hashes for the items and batch hashes that can be validated using an immutable data store, such one or more blockchains in a tiered blockchain structure. The system can store machine data and additional associated data in a first lightweight blockchain, and store grouped sets of the data in a second robust blockchain. The system can implement the tiered blockchain structure to efficiently store and reference the hashes to validate the machine data at different times or upon request from an end-user.

    Determining affinities for data set summarizations

    公开(公告)号:US11954127B1

    公开(公告)日:2024-04-09

    申请号:US17316421

    申请日:2021-05-10

    Applicant: Splunk Inc.

    CPC classification number: G06F16/283 G06F16/2465

    Abstract: Systems and methods are disclosed for associating summarizations of visualizations of a data set based on affinities between the summarizations. For a data set, a number of summarizations may be created that summarizes the data set in different ways. The summarizations may be linked, such that selecting a data element of a first summarization causes display of a second summarization. To assist in linking of summarizations, suggested linkings between summarizations can be determined based on affinities of the two summarizations. Affinities can reflect similarities in the data content of the two summarizations, such as an output of a first summarization being a valid input to the second summarization.

    SELF-CONTAINED FILES FOR GENERATING A VISUALIZATION OF QUERY RESULTS

    公开(公告)号:US20200081885A1

    公开(公告)日:2020-03-12

    申请号:US16676956

    申请日:2019-11-07

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for generating one or more files to visualize query results. The systems and methods can include parsing one or more files that include one or more queries and computer-executable instructions for displaying results of the one or more queries. The one or more queries can identify a set of data to be processed and a manner of processing the set of data. The systems and methods can further include generating one or more files that include the results of the queries and computer-executable instructions for displaying one or more visualizations of the results.

    DYNAMICALLY-GENERATED FILES FOR VISUALIZATION SHARING

    公开(公告)号:US20180314745A1

    公开(公告)日:2018-11-01

    申请号:US15582387

    申请日:2017-04-28

    Applicant: Splunk Inc.

    CPC classification number: G06F16/248 G06F16/164 G06F16/2455 G06F16/27

    Abstract: Systems and methods are disclosed for generating one or more files to visualize query results. The systems and methods can include parsing one or more files that include one or more queries and computer-executable instructions for displaying results of the one or more queries. The one or more queries can identify a set of data to be processed and a manner of processing the set of data. The systems and methods can further include generating one or more files that include the results of the queries and computer-executable instructions for displaying one or more visualizations of the results.

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