基于ECLHadoop的有效电子商务物流大数据处理方略  

Effective data processing strategy for effective e-commerce logistics based on ECLHadoop

作　　者：葛青龙 Ge Qinglong(Taizhou Vocational and Technical College,Taizhou Zhejiang,318000)

机构地区：[1]台州职业技术学院

出　　处：《自动化与仪器仪表》2018年第11期218-222,共5页Automation & Instrumentation

摘　　要：近年来随着信息技术的不断发展,电子商务的发展进程不断加快,同时也推动了物流行业的快速发展,对于如何做好电子商务物流大数据的处理时当前行业中研究的热点问题。基于Hadoop设计一种ECLHadoop的有效电子商务物流大数据处理的方法,通过把相关的数据块放入到相同的数据节点,进而降低MapReduce I/O代价的目的。实验结果表明基于ECLHadoop的有效电子商务物流大数据的处理能够对数据进行密集分析,提高电子商务数据计算和处理的效率。In recent years,with the continuous development of information technology,the development of e-com- merce has been accelerating, but also promoted the rapid development of the logistics industry. How to deal with the large data of e-commerce logistics is a hot issue in the current industry. Based on Hadoop,this paper designs an effective method for large data processing of E-commerce logistics based on ECLHadoop,which reduces the cost of MapReduce I/O by putting relevant data blocks into the same data nodes. The experimental results show that the processing of large data of E-commerce logistics based on ECLHadoop can conduct intensive analysis of data and improve the efficiency of calculation and processing of E-commerce data.

关 键 词：电子商务 物流 ECLHadoop 大数据处理 策略 

分 类 号：TP283[自动化与计算机技术—检测技术与自动化装置]