Search and data analysis collaboration system

    公开(公告)号:US11573971B1

    公开(公告)日:2023-02-07

    申请号:US16148890

    申请日:2018-10-01

    Applicant: Splunk Inc.

    Abstract: A search and data analysis collaboration system is described. The search and data analysis collaboration system enables users to search for and process stored data, and further includes a home page component that can help guide users embarking on data analyses; a discovery component that enables users to discover what data is available for search and analysis; a search component that enables users to efficiently search accessible data and to iterate on search queries and corresponding results; a workbooks component that enables users to create aggregated collections of data analysis artifacts; and an actions component that enables users to configure various actions to be performed in response to analyses.

    HYBRID STRUCTURED/UNSTRUCTURED SEARCH AND QUERY SYSTEM

    公开(公告)号:US20210374169A1

    公开(公告)日:2021-12-02

    申请号:US17332070

    申请日:2021-05-27

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    EXECUTING STRUCTURED QUERIES ON UNSTRUCTURED DATA
    4.
    发明申请
    EXECUTING STRUCTURED QUERIES ON UNSTRUCTURED DATA 审中-公开
    对结构化数据执行结构化查询

    公开(公告)号:US20150039641A1

    公开(公告)日:2015-02-05

    申请号:US14266833

    申请日:2014-05-01

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Abstract translation: 这里描述了用于执行针对非结构化数据参考结构化查询语言表达的查询的技术。 用户通过传统的结构化数据管理(“SDM”)应用程序发出结构化查询。 在接收到结构化查询后,如果需要,SDM驱动程序分析结构化查询并从非结构化数据中提取数据结构。 然后,结构化查询将基于提取的数据结构转换为非结构化查询。 然后可以针对非结构化数据执行转换的非结构化查询。 使用提取的数据结构将查询结果重组为结构化数据,然后通过SDM应用程序呈现给用户。

    Executing structured queries on unstructured data
    6.
    发明授权
    Executing structured queries on unstructured data 有权
    对非结构化数据执行结构化查询

    公开(公告)号:US09122746B2

    公开(公告)日:2015-09-01

    申请号:US14266833

    申请日:2014-05-01

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Abstract translation: 这里描述了用于执行针对非结构化数据参考结构化查询语言表达的查询的技术。 用户通过传统的结构化数据管理(“SDM”)应用程序发出结构化查询。 在接收到结构化查询后,如果需要,SDM驱动程序分析结构化查询并从非结构化数据中提取数据结构。 然后,结构化查询将基于提取的数据结构转换为非结构化查询。 然后可以针对非结构化数据执行转换的非结构化查询。 使用提取的数据结构将查询结果重组为结构化数据,然后通过SDM应用程序呈现给用户。

    Executing structured queries on unstructured data
    7.
    发明授权
    Executing structured queries on unstructured data 有权
    对非结构化数据执行结构化查询

    公开(公告)号:US08751486B1

    公开(公告)日:2014-06-10

    申请号:US13956258

    申请日:2013-07-31

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Abstract translation: 这里描述了用于执行针对非结构化数据参考结构化查询语言表达的查询的技术。 用户通过传统的结构化数据管理(“SDM”)应用程序发出结构化查询。 在接收到结构化查询后,如果需要,SDM驱动程序分析结构化查询并从非结构化数据中提取数据结构。 然后,结构化查询将基于提取的数据结构转换为非结构化查询。 然后可以针对非结构化数据执行转换的非结构化查询。 使用提取的数据结构将查询结果重组为结构化数据,然后通过SDM应用程序呈现给用户。

    Hybrid structured/unstructured search and query system

    公开(公告)号:US11567978B2

    公开(公告)日:2023-01-31

    申请号:US17332070

    申请日:2021-05-27

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Searching unstructured data in response to structured queries

    公开(公告)号:US11023504B2

    公开(公告)日:2021-06-01

    申请号:US15920434

    申请日:2018-03-13

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Executing structured queries on text records of unstructured data
    10.
    发明授权
    Executing structured queries on text records of unstructured data 有权
    对非结构化数据的文本记录执行结构化查询

    公开(公告)号:US09594828B2

    公开(公告)日:2017-03-14

    申请号:US14611106

    申请日:2015-01-30

    Applicant: Splunk Inc.

    Abstract: Technologies are described herein for executing queries expressed with reference to a structured query language against unstructured data. A user issues a structured query through a traditional structured data management (“SDM”) application. Upon receiving the structured query, an SDM driver analyzes the structured query and extracts a data structure from the unstructured data, if necessary. The structured query is then converted to an unstructured query based on the extracted data structure. The converted unstructured query may then be executed against the unstructured data. Results from the query are reorganized into structured data utilizing the extracted data structure and are then presented to the user through the SDM application.

    Abstract translation: 这里描述了用于执行针对非结构化数据参考结构化查询语言表达的查询的技术。 用户通过传统的结构化数据管理(“SDM”)应用程序发出结构化查询。 在接收到结构化查询后,如果需要,SDM驱动程序分析结构化查询并从非结构化数据中提取数据结构。 然后,结构化查询将基于提取的数据结构转换为非结构化查询。 然后可以针对非结构化数据执行转换的非结构化查询。 使用提取的数据结构将查询结果重组为结构化数据,然后通过SDM应用程序呈现给用户。

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