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Research on Freight Big Data Application Based on Railway Data Service Platform

机译:基于铁路数据服务平台的货运大数据应用研究

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According to the current status of railway freight data assets, the overall architecture of railway freight big data application based on the railway data service platform is proposed, including the processing flows of data acquisition and access, assets directory construction, data modeling and management, data storage and analysis, etc. Besides, the key technologies, e.g. the construction of data model based on source and paradigm approaches, Greenplum-based Ad Hoc queries of data, freight-specific data models are also studied. Based on the data of some existing freight business systems and the distributed computing architecture of the railway data service platform, this paper conducted Ad Hoc queries case analysis and the application practice of freight-specific algorithm library, thus verified the feasibility of key technologies, and provided data and technical support for the comprehensive analysis and mining application of freight big data.
机译:针对铁路货运数据资产的现状,提出了基于铁路数据服务平台的铁路货运大数据应用的总体架构,包括数据采集与访问,资产目录建设,数据建模与管理,数据的处理流程。存储和分析等。此外,关键技术,例如还研究了基于源和范式方法的数据模型的构建,基于Greenplum的Ad Hoc数据查询,特定于货运的数据模型。基于现有货运业务系统的数据和铁路数据服务平台的分布式计算架构,本文进行了Ad Hoc查询案例分析和货运专用算法库的应用实践,从而验证了关键技术的可行性,以及为货运大数据的综合分析和挖掘应用提供了数据和技术支持。

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