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基于Greenplum的铁路数据共享平台设计

Design of railway data sharing platform based on Greenplum

  • 摘要: 实现铁路既有信息系统数据共享,加快数据集成应用开发,是我国铁路信息化建设继续深入推进的必由之路。文章针对铁路企业既有数据资产来源广、数据源类型多种多样等特点,基于分布式数据仓库Greenplum,开发了适用于集中存储和管理铁路企业多源异构数据的数据共享平台。平台提供数据目录管理、数据采集、数据共享、运行监控管理与数据安全防护等功能,实现对铁路多源异构数据的自动采集、处理及规范化集中存储。平台采用高可靠、易扩展的架构设计及可视化技术,为平台管理员提供简便易用的可视化配置与运行管理工具,为铁路企业应用开发单位提供便捷高效、稳定可靠、安全合规的数据共享服务,较好地满足铁路企业数据集成应用开发的需要,也为铁路企业大数据应用构建起坚实的基座。该平台已在中国铁路兰州局集团有限公司启动试运行,创建了企业既有信息系统数据资产目录,已采集76种业务数据,为十多个信息系统提供稳定、高效的数据共享服务。

     

    Abstract: Realizing data sharing of existing railway information systems and accelerating the development of data integration applications is an effective way for pushing forward China's railway informationization construction. To deal with a wide range of and diverse types of data sources of railway enterprise's existing data asset, a data sharing platform suitable for centralized storage and management of railway enterprise multi-source heterogeneous data is developed based on the distributed data warehouse Greenplum. The platform provides functions such as data directory management, data collection, data sharing, operation monitoring management, and data security protection, realizing automatic collection, processing, and centralized storage of railway multi-source heterogeneous data. The platform adopts a highly reliable and scalable architecture design and visualization technology, providing platform administrators with convenient and easy-to-use visualization configuration and operation management tools, and providing convenient, efficient, stable, reliable, safe and compliant data sharing services for railway enterprise application developers. It better meets the needs of railway enterprise data integration application development and also builds a solid foundation for railway enterprise big data applications. The platform started trial operation in China Railway Lanzhou Group Co. Ltd., establishing a complete data asset catalog of existing information systems. It has collected 76 types of business data and provided stable and efficient data sharing services for more than ten information systems.

     

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