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    DATA TRANSFER USING SNAPSHOT DIFFERENCING FROM EDGE SYSTEM TO CORE SYSTEM
    1.
    发明申请
    DATA TRANSFER USING SNAPSHOT DIFFERENCING FROM EDGE SYSTEM TO CORE SYSTEM 审中-公开

    公开(公告)号：US20200301881A1

    公开(公告)日：2020-09-24

    申请号：US16361310

    申请日：2019-03-22

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Suparna Bhattacharya ,  Lin A. Nease ,  Peter F. Corbett

    IPC: G06F16/11 ,  G06F16/185 ,  G06F16/174 ,  G06F16/901

    Abstract: A source system generates snapshots of collected data. The snapshots have respective associated time references. Responsive to a request from a target system for data collected over a time interval, the source system generates a subset of the data collected by determining a start snapshot and an end snapshot. The start snapshot and the end snapshot are determined as a pair of snapshots that have respective associated time references that are most closely spaced and are inclusive of the time interval. The source system determines a difference in the data included in the end snapshot and the start snapshot and provides the subset of the data as the difference in the data included in the end snapshot and the start snapshot.

    Data recommender using lineage to propagate value indicators
    3.
    发明授权
    Data recommender using lineage to propagate value indicators 有权

    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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