科技情报大数据业务平台设计

Big Data Platform for Science and Technology Intelligence

[目的 /意义]本文分析了目前大数据时代科技情报工作面临的问题和机遇,针对情报服务领域大数据服务模式进行了分析。[方法/过程]该论文结合信息技术领域的虚拟化技术、云平台技术、高性能技术和人工智能技术,设计了科技情报大数据业务平台架构,详细阐述了硬件层、虚拟层、支撑层和业务层主要功能和所需技术;并对大数据处理首要任务存储进行了探索,搭建了基于hadoop和hbase的大数据存储平台。[结果/结论]本文提出的大数据情报业务平台从整体架构进行了设计,并实现了存储模块,下一步实现分析和可视化部门,可以为情报的收集和处理提供大数据支撑服务。

[Purpose/Signficance] This paper analyzed the current big data era of science and technology Intelligence work problems and opportunities. [Method/Process] Combined with information technology,virtualization technology,cloud platform technology,high performance technology and artificial intelligence technology,design science and technology information data service platform architecture,described the hardware layer,virtual layer,support layer and business layer and main function the required technology; and explored the primary task of big data storage,to build a large data storage platform based on Hadoop and hbase. [Resule/Conclusion] Big data business intelligence platform was proposed in this paper was designed from the overall architecture,and implemented the storage module,realized the analysed and visualization department next,could provide support services for large data collection and processing of information.