GENERATING, ACCESSING, AND DISPLAYING LINEAGE METADATA

    公开(公告)号:US20240078229A1

    公开(公告)日:2024-03-07

    申请号:US18345706

    申请日:2023-06-30

    CPC classification number: G06F16/245 G06F16/22 G06F16/248 G06F16/83 G06F40/117

    Abstract: Among other things, we describe a method of receiving a portion of metadata from a data source, the portion of metadata describing nodes and edges; generating instances of a data structure representing the portion of metadata, at least one instance of the data structure including an identification value that identifies a corresponding node, one or more property values representing respective properties of the corresponding node, and one or more pointers to respective identification values, each pointer representing an edge associated with a node identified by the corresponding respective identification value; storing the instances of the data structure in random access memory; receiving a query that includes an identification of at least one particular element of data; and using at least one instance of the data structure to cause a display of a computer system to display a representation of lineage of the particular element of data.

    Interface and mode selection for digital action execution

    公开(公告)号:US11922193B2

    公开(公告)日:2024-03-05

    申请号:US16643648

    申请日:2020-02-28

    Applicant: GOOGLE LLC

    CPC classification number: G06F9/453 G06F3/167 G06F11/3438 G06F16/245

    Abstract: Interface and mode selection for digital action execution is provided. For example, a system loads a script library embedded in an electronic resource. The system determines a historic level of engagement between a client computing device and one or more digital assistants. The system selects, based on a first property of the client computing device and the historic level of engagement, a type of digital interface. The system generates, based on the type of digital interface, a digital interface with the call-to-action. The system determines, responsive to an instruction to execute the call-to-action, a mode of execution. The system selects a digital assistant and a second client device to execute the call-to-action. The system transmits the call-to-action to the second client device for execution.

    Automated database operation classification using artificial intelligence techniques

    公开(公告)号:US11921756B2

    公开(公告)日:2024-03-05

    申请号:US17867164

    申请日:2022-07-18

    CPC classification number: G06F16/285 G06F16/245 G06N20/20

    Abstract: Methods, apparatus, and processor-readable storage media for automated database operation classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining at least one query related to one or more database operations; obtaining information pertaining to a set of multiple storage resources; classifying the at least one query as associated with at least one of multiple subsets of storage resources among the set of multiple storage resources by processing at least a portion of the query and at least a portion of the information pertaining to the set of multiple storage resources using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one query.

    Systems and methods for detecting malware domain names

    公开(公告)号:US11916935B1

    公开(公告)日:2024-02-27

    申请号:US17890201

    申请日:2022-08-17

    Inventor: Robert Neel

    CPC classification number: H04L63/1416 G06F16/2379 G06F16/245

    Abstract: Disclosed herein are systems and methods of executing scanning software, such an executable software program or script (e.g., PowerShell script), by a computing device of an enterprise, such as a security server, may instruct the computing device to search all or a subset of computing devices in an enterprise network. The scanning software may identify PowerShell scripts containing particular malware attributes, according to a malicious-code dataset. The computing system executing the scanning software may scan through the identified PowerShell scripts to identify particular strings, values, or code-portions, and take a remedial action according to the scanning software programming.

    Virtual warehouse query monitoring and reporting

    公开(公告)号:US11914595B2

    公开(公告)日:2024-02-27

    申请号:US17374461

    申请日:2021-07-13

    CPC classification number: G06F16/24545 G06F16/254

    Abstract: Methods, systems, and apparatuses for tracking and generating analysis of queries submitted to virtual warehouses are described herein. A request to execute a query may be received. An organization may be determined, and the query may be modified to add an indication of the organization. A plurality of virtual warehouses may be identified. One of the plurality of virtual warehouses may be caused to execute the query. Query results and costs data may be received based on execution of the query by the first virtual warehouse. The costs data may indicate one or more costs associated with the execution of the query by the first virtual warehouse. The indication of the organization may be extracted from the query results. A user interface comprising query cost information corresponding to the organization may be generated.

    Systems, methods, and devices for time synchronized storage delivery

    公开(公告)号:US11914529B2

    公开(公告)日:2024-02-27

    申请号:US18123866

    申请日:2023-03-20

    Inventor: Ronald C. Lee

    CPC classification number: G06F13/1668 G06F16/245 G06N20/00 H03M13/154

    Abstract: A method includes receiving, at a first computing device, a first input/output (IO) command from a first artificial intelligence processing unit (AI PU), the first IO command associated with a first AI model training operation. The method further includes receiving, at the first computing device, a second IO command from a second AI PU, the second IO command associated with a second AI model training operation. The method further includes assigning a first timestamp to the first IO command based on a first bandwidth assigned to the first AI model training operation. The method further includes assigning a second timestamp to the second IO command based on a second bandwidth assigned to the second AI model training operation.

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