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公开(公告)号:US20240362206A1
公开(公告)日:2024-10-31
申请号:US18765585
申请日:2024-07-08
申请人: Snowflake Inc.
IPC分类号: G06F16/242 , G06F16/2455 , G06F16/27
CPC分类号: G06F16/242 , G06F16/2456 , G06F16/27
摘要: Embodiments of the present disclosure may provide a data sharing system implemented as a local application of a distributed database. A query from a query template can be validated and executed against shared dataset that comprises portions of data from the database dataset and additional portions of data from another database of the distributed database.
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公开(公告)号:US12130878B1
公开(公告)日:2024-10-29
申请号:US17729256
申请日:2022-04-26
申请人: Lacework, Inc.
发明人: Anil K. Nanduri , Prakash Jalan , Matti A. Vanninen , Ammar G. Ekbote , Alex Ramachandran Nirmala , Yijou Chen
IPC分类号: G06F16/9537 , G06F9/455 , G06F9/54 , G06F16/2455 , G06F16/901 , G06F16/9038 , G06F16/9535 , G06F21/57 , H04L9/40 , H04L43/045 , H04L43/06 , H04L67/306 , H04L67/50
CPC分类号: G06F16/9537 , G06F9/455 , G06F9/545 , G06F16/9024 , G06F16/9038 , G06F16/9535 , G06F21/57 , H04L43/045 , H04L43/06 , H04L63/10 , H04L67/306 , H04L67/535 , G06F16/2456
摘要: Example systems and methods monitor a cloud compute environment. An example method includes: determining, by an agent deployed in a cloud environment and based on a plurality of data packets transmitted over a plurality of network interfaces of the cloud environment, a set of data packets that are associated with a communication between a first container and a second container; determining, by the agent and based on the set of data packets, communication data associated with the communication; and providing, by the agent, the communication data to a data platform, wherein providing the communication data to the data platform uses less network resources than providing the set of data packets to the data platform.
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公开(公告)号:US12130814B2
公开(公告)日:2024-10-29
申请号:US17522504
申请日:2021-11-09
申请人: Google LLC
发明人: Xiaobin Ma , Xun Cheng , Viral Shah , Anjan Kumar Amirishetty
IPC分类号: G06F16/2453 , G06F16/2455
CPC分类号: G06F16/24544 , G06F16/24539 , G06F16/24557 , G06F16/2456
摘要: Aspects of the disclosure are directed to late materialization of attributes in response to queries to a database implementing a database cache. Queried data is materialized in temporary memory before the data is projected as part of generating a result to the query. Instead of materializing all of the attributes referenced in a query before executing the query, a database management system materializes attributes as “late” as possible—when the operation needing the attributes is executed. The operation needing the attributes can be performed sooner, as opposed to materializing all referenced attributes are materialized before executing the query.
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公开(公告)号:US12130810B2
公开(公告)日:2024-10-29
申请号:US18083157
申请日:2022-12-16
发明人: Mark Elliot , Joseph Ellis , Rahij Ramsharan , Matthew Sills , Lawrence Manning
IPC分类号: G06F16/00 , G06F16/18 , G06F16/215 , G06F16/2453 , G06F16/2455 , G06F16/248
CPC分类号: G06F16/24537 , G06F16/1805 , G06F16/215 , G06F16/2456 , G06F16/248 , G06F16/24564
摘要: A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and an edits dataset. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The edits dataset is the set of data that contains edits such as cell mutations, row appends and/or row deletions. The database system enables users to make cell or row-level edits to tables and observe those edits in analytical systems or downstream builds with minimal latency.
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公开(公告)号:US12126695B1
公开(公告)日:2024-10-22
申请号:US18361748
申请日:2023-07-28
申请人: LACEWORK, INC.
发明人: Úlfar Erlingsson , Yijou Chen
IPC分类号: H04L41/08 , G06F9/455 , G06F9/54 , G06F16/901 , G06F16/9038 , G06F16/9535 , G06F16/9537 , G06F21/57 , H04L9/40 , H04L67/306 , H04L67/50 , G06F16/2455
CPC分类号: H04L67/535 , G06F9/455 , G06F9/545 , G06F16/9024 , G06F16/9038 , G06F16/9535 , G06F16/9537 , G06F21/57 , H04L63/10 , H04L67/306 , G06F16/2456 , H04L41/08
摘要: Learning from other cloud deployments to combat security threats, including: identifying, for at least a portion of a first cloud deployment, one or more additional cloud deployments to utilize for cross-customer learning; receiving information describing a security threat to one or more of the additional cloud deployments; receiving information describing configuration settings used to combat the security threat; and identifying, based on the information describing configuration settings used to combat the security threat, one or more configurations to adopt for the first cloud deployment.
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公开(公告)号:US12126643B1
公开(公告)日:2024-10-22
申请号:US18469212
申请日:2023-09-18
申请人: LACEWORK, INC.
发明人: Njall Skarphedinsson , Pamela Bhattacharya , Úlfar Erlingsson , Jay Parikh , Timothy Chase , Yijou Chen
IPC分类号: H04L43/045 , G06F9/455 , G06F9/54 , G06F16/2455 , G06F16/901 , G06F16/9038 , G06F16/9535 , G06F16/9537 , G06F21/57 , H04L9/40 , H04L43/06 , H04L67/306 , H04L67/50
CPC分类号: H04L63/1425 , G06F9/455 , G06F9/545 , G06F16/9024 , G06F16/9038 , G06F16/9535 , G06F16/9537 , G06F21/57 , H04L43/045 , H04L43/06 , H04L63/10 , H04L67/306 , H04L67/535 , G06F16/2456
摘要: Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment, including: receiving natural language input associated with the monitored deployment, the monitored deployment monitored by a monitoring tool; and receiving, from a generative AI application, a response to the natural language input, wherein: the generative AI application accesses publicly available information as well as data sources associated with the monitoring tool; and the response is generated based at least in part on information contained in the data sources associated with the monitoring tool.
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公开(公告)号:US12067502B1
公开(公告)日:2024-08-20
申请号:US18154962
申请日:2023-01-16
发明人: Jennifer Ann Stave , Jiaju Liu , Saara Raja
IPC分类号: G06N5/04 , G06F16/2455 , G06N20/00
CPC分类号: G06N5/04 , G06F16/2456 , G06N20/00
摘要: Disclosed herein are systems and methods for using machine learning for managing application incidents. An embodiment takes the form of a method that includes receiving extracted data pertaining to one or more applications. Model-input data is generated from the extracted data. Model-output data is generated at least in part by processing the generated model-input data with one or more machine-learning models trained to make one or more application-incident predictions. Based at least in part on the model-output data, an application-incident-likely determination is made that a likelihood of an occurrence of an application incident exceeds an application-incident-likelihood threshold, where the application incident corresponds to a given application of the one or more applications. Responsive to making the application-incident-likely determination, one or more alerts of the likelihood of the occurrence of the application incident are output.
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公开(公告)号:US12067005B2
公开(公告)日:2024-08-20
申请号:US17816420
申请日:2022-07-31
申请人: Snowflake Inc.
IPC分类号: G06F16/30 , G06F16/242 , G06F16/2455 , G06F16/27
CPC分类号: G06F16/242 , G06F16/2456 , G06F16/27
摘要: Embodiments of the present disclosure may provide a data sharing system implemented as a local application of a distributed database. A query from a query template can be validated and executed against shared dataset that comprises portions of data from the database dataset and additional portions of data from another database of the distributed database.
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公开(公告)号:US20240273103A1
公开(公告)日:2024-08-15
申请号:US18440694
申请日:2024-02-13
申请人: Michael Seul
发明人: Michael Seul
IPC分类号: G06F16/2455 , G06F16/2453 , G06F16/248
CPC分类号: G06F16/2456 , G06F16/24537 , G06F16/24544 , G06F16/248
摘要: Disclosed is a method for querying by pattern matching a relational data store, including a collection of records having a preset number of attributes, wherein the representation of the content of a structured or unstructured data source also encodes the structure of the data source, and including these steps:
providing at least one query comprising at least a find- and a where-clause, wherein the where-clause comprises one or more query patterns, and the find-clause specifies a subset of attributes optionally including aliases thereof; executing the query by:
applying predicates in the one or more query patterns to identify a subset of matching or non-matching records;
forming the intersection of the two or more subsets of records for two or more patterns;
in accordance with the find-clause, selecting specified attributes and applying any aliases; and
thereby identifying the subset of records satisfying constraints expressed in the query patterns.-
公开(公告)号:US12056129B2
公开(公告)日:2024-08-06
申请号:US18113154
申请日:2023-02-23
申请人: Hitachi, Ltd.
IPC分类号: G06F16/30 , G06F11/34 , G06F16/22 , G06F16/2455
CPC分类号: G06F16/2456 , G06F11/3433 , G06F16/2255
摘要: The processing load for joining a plurality of tables by hash join is reduced for a computer system in which the CPU of a node creates a partial bloom filter that manages a first table hash value of a joining key of a row corresponding to a query in an assigned row of a build table. An integrated bloom filter is created from a plurality of partial bloom filters, and a second table hash value of the joining key of the row corresponding to the condition of the query among the rows of a probe table is calculated. The row of the probe table is transmitted to the node containing a row of the build table of the join hash value for that row when the integrated bloom filter includes an identical first table hash value, and an integrated joined table is created and returned to the query request source.
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