铁路大数据平台架构研究

中国铁路已积累、沉淀了大量数据。数据量大、结构复杂、来源多样的铁路大数据需要一种新的架构模式进行数据的存储与计算。为适应铁路大数据发展的需要,对铁路大数据平台进行了架构研究与设计,将大数据技术与不同数据源的特点相结合,使平台既能对现有业务进行快速响应,又能对海量历史数据进行价值深挖。为满足复杂大量数据的存储与计算,提高数据处理效率提供技术支撑。

Research and design of railway big data platform architecture

China Railway has accumulated and precipitated a large amount of data. Railway big data with large amount of data, complex structure and diverse sources need a new architecture model for data storage and calculation. In order to meet the needs of the development of railway big data, this paper studied and designed the architecture of railway big data platform. In order to meet the needs of the development of railway big data, this paper studies and designs the structure of railway big data platform, combines the big data technology with characteristics of different data sources, so that the platform can not only respond to the existing business quickly, but also dig deep into the value of massive historical data. It provides technical support for the storage and calculation of large amount of complex data and the improvement of data processing efficiency.