基于Hadoop的对俄贸易大数据分析系统研究

Research on Big Data Analysis System of Russian Trade Based on Hadoop

大数据时代下,进出口企业发展出了跨境电子商务或在线国际贸易的新型虚拟网络贸易平台,需要对海量的贸易数据进行收集并完成处理。为了处理这些海量贸易数据,基于Hadoop大数据分析工具设计并实现了对俄贸易大数据分析处理系统,通过它提供的强大的分布式数据处理能力,高效快捷地分析对俄贸易的各种数据。实验表明该系统能够有效地完成对俄贸易数据处理分析,从海量数据中挖掘到有用信息,从而可靠地、高效地对贸易数据进行存储和分析,帮助企业制订营销计划。

In the era of big data, import and export enterprises have developed a new virtual network trading platform for crossborder e-commerce or online international trade, which requires the collection and processing of massive trade data.. In order to deal with the massive trade data, Large data analysis and processing system for Russian trade was was designed and implemented Based on the Hadoop, through which provide powerful distributed data processing capabilities, efficient and quick analysis on Russia＇s trade all kinds of data. Experiments show that the system can effectively complete analysis on Russia＇s trade data processing to the useful information from huge amounts of data mining, so as to reliably and efficiently for trade data for storage and analysis, to help enterprises make the marketing plan.