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公开(公告)号：US10599666B2
公开(公告)日：2020-03-24
申请号：US15281254
申请日：2016-09-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Douglas L. Voigt , Suparna Bhattacharya , Neeraj Gokhale
Abstract: Examples disclosed herein relate to data provisioning for an analytical process based on lineage metadata. In an example, a value of a parameter related to execution of an analytical process on a remote hub device may be determined based on lineage metadata stored on an edge device, wherein the analytical process is part of an analytical workflow that may be implemented at least in part on the edge device and the remote hub device. In response to a determination that the value of the parameter is above a predefined threshold, the edge device may provide to the remote hub device, input data for a future execution of the analytical process in advance of execution of the analytical process on the remote hub device without a request for the input data by the remote hub device.
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公开(公告)号：US10540402B2
公开(公告)日：2020-01-21
申请号：US15281225
申请日：2016-09-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Douglas L. Voigt , Suparna Bhattacharya , Neeraj Gokhale
IPC: G06F17/30 , G06F16/907 , G06F16/14
Abstract: Examples disclosed herein relate to re-execution of an analytical process based on lineage metadata. In an example, a determination may be made on a hub device that an analytical process previously executed on a remote edge device is to be re-executed on the hub device, wherein the analytical process is part of an analytical workflow that is implemented at least in part on the hub device and the remote edge device. In response to the determination, a storage location of input data for re-executing the analytical process may be identified based on lineage metadata stored on the hub device, and input data may be acquired from the storage location.
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公开(公告)号：US20180096081A1
公开(公告)日：2018-04-05
申请号：US15281279
申请日：2016-09-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Douglas L. Voigt , Suparna Bhattacharya , Neeraj Gokhale
IPC: G06F17/30
CPC classification number: G06F16/254
Abstract: Examples disclosed herein relate to relocation of an analytical process based on lineage metadata. In an example, a determination may be made, based on lineage metadata on a hub device, whether relocating an analytical process from the hub device to a remote edge device reduces execution time of the analytical process, wherein the analytical process is part of an analytical workflow that is implemented at least in part on the hub device and the remote edge device. In response to a determination that relocating the analytical process from the hub device to the remote edge device reduces the execution time of the analytical process, the analytical process may be relocated from the hub device to the remote edge device.
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公开(公告)号：US20170300561A1
公开(公告)日：2017-10-19
申请号：US15483498
申请日：2017-04-10
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Kalapriya Kannan , Suparna Bhattacharya , Douglas L. Voigt , Muthukumar Murugan
IPC: G06F17/30
CPC classification number: G06F16/3344
Abstract: Some examples relate to associating an insight with data. In an example, data may be received. A determination may be made that data type of the data is same as compared to an earlier data. An insight generated from the earlier data may be identified, wherein the insight may represent intermediate or resultant data generated upon processing of the earlier data by an analytics function, and wherein during generation metadata is associated with the insight. An analytics function used for generating the insight may be identified.
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公开(公告)号：US20230409586A1
公开(公告)日：2023-12-21
申请号：US18351309
申请日：2023-07-12
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： TED DUNNING , Suparna Bhattacharya , Glyn Bowden , Lin A. Nease , Janice M. Zdankus , Sonu Sudhakaran
IPC: G06F16/248 , G06F16/2455 , G06F16/28 , G06F16/25
CPC classification number: G06F16/248 , G06F16/24556 , G06F16/288 , G06F16/254
Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.
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Patent Agency Ranking
公开(公告)号：US11204935B2
公开(公告)日：2021-12-21
申请号：US16305004
申请日：2016-05-27
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Kalapriya Kannan , Suparna Bhattacharya , Douglas L. Voigt
Abstract: Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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公开(公告)号：US10789087B2
公开(公告)日：2020-09-29
申请号：US15995056
申请日：2018-05-31
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Abstract: In an example, a distributed data access system compares a first lineage of a first analytics application with a second lineage of a second analytics application. The first analytics application may be run in a first container hosted by a first computing node and the second analytics application may run in a second container hosted by a second computing node. Based on the comparison, the distributed data access system determines whether a first insight generated by the first analytics application can be used in a processing of the second analytics application.
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公开(公告)号：US20190213198A1
公开(公告)日：2019-07-11
申请号：US16305004
申请日：2016-05-27
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Kalapriya Kannan , Suparna Bhattacharya , Douglas L. Voigt
IPC: G06F16/25
CPC classification number: G06F16/254 , G06F11/30
Abstract: Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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公开(公告)号：US12248488B2
公开(公告)日：2025-03-11
申请号：US18351355
申请日：2023-07-12
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Ted Dunning , Suparna Bhattacharya , Glyn Bowden , Lin A. Nease , Janice M. Zdankus , Sonu Sudhakaran
IPC: G06F16/248 , G06F16/2455 , G06F16/25 , G06F16/28
Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.
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公开(公告)号：US12093316B2
公开(公告)日：2024-09-17
申请号：US16263390
申请日：2019-01-31
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
IPC: G06F16/90 , G06F9/455 , G06F16/188 , G06F16/27 , G06F16/901 , G06F16/908
CPC classification number: G06F16/9027 , G06F9/45558 , G06F16/192 , G06F16/273 , G06F16/908 , G06F2009/45595
Abstract: Example implementations relate to partial file system instances. In an example, a subset of objects of a source file system instance on a source system are replicated to a target system to form a partial file system instance on the target system comprised of the subset of objects. Each of the objects of the source file system instance is identified by a signature based on content of each of the objects and the objects exhibit a hierarchical relationship to a root object in the file system instance. An unmaterialized object is dynamically added to the partial file system instance by replicating the corresponding object from the source file system instance. The target system is asynchronously updated from the source file system instance based on a comparison of the partial file system instance to the source file system instance.
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