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Management of extract transform load (ETL) jobs via a model that is based on a bayesian network

机译:通过基于贝叶斯网络的模型管理提取更换负载(ETL)作业

摘要

A device may receive, from a user device, a request for a set of forecasts of an extract transform load (ETL) completion time for a group of ETL jobs associated with an organization. The device may obtain a set of performance indicators associated with the group of ETL jobs. The device may filter the set of performance indicators using one or more filtering techniques. The device may generate the set of forecasts of the ETL completion time by using a data model to process the set of performance indicators and/or a set of assumptions associated with a set of recommendations for reducing the ETL completion time. The device may provide the set of forecasts of the ETL completion time to the user device. The device may perform one or more actions that cause the ETL system to execute the group of ETL jobs within a threshold completion time.
机译:从用户设备可以从用户设备接收到一组与组织相关联的一组ETL作业的提取变换负载(ETL)完成时间的一组预测的请求。该设备可以获得与一组ETL作业相关联的一组性能指示符。该设备可以使用一个或多个过滤技术过滤该组性能指示符。该设备可以通过使用数据模型来生成ETL完成时间的预测集来处理一组性能指示符和/或与用于减少ETL完成时间的一组建议的一组假设。该设备可以向用户设备提供对ETL完成时间的预测集。该设备可以执行一个或多个动作,使得ETL系统在阈值完成时间内执行一组ETL作业。

著录项

  • 公开/公告号US10936614B2

    专利类型

  • 公开/公告日2021-03-02

    原文格式PDF

  • 申请/专利权人 ACCENTURE GLOBAL SOLUTIONS LIMITED;

    申请/专利号US201816024091

  • 发明设计人 MADAN KUMAR;SAMEER KESHKAMAT;

    申请日2018-06-29

  • 分类号G06F16/25;G06F11/34;G06N7;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 17:26:12

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