基于数据挖掘的Greenplum分析  

Analysis on Greenplum Basedon Data Mining

作　　者：余彪[1] 

机构地区：[1]中国人民解放军92493部队

出　　处：《计算机与网络》2017年第16期62-65,共4页Computer & Network

摘　　要：随着网络技术的发展,特别是移动互联网的飞速发展,互联网企业的业务不断拓展,每天通过各类平台产生的数据也成级数增长。面对数据量的不断暴涨,传统数据库的处理能力已是捉襟见肘,针对这种情况,提出了应用开源数据仓库Greenplum作为企业运营的数据仓库,提高大数据处理的时效性,让企业决策者能快速感知市场变化,掌握市场先机,从而制定相应决策抢占市场,并通过关联规则挖掘算法在不同数据库上进行挖掘实验为例来分析Greenplum的性能优势。With the development of network technology, especially the rapid development of mobile lnternet, the business of Internet company has expanded continuously, and the data generated every day from various platforms have proliferated. Faced with the data proliferation, the traditional database has too many problems to deal with for data processing. In this context, this paper puts forward a sohition of using the open source data warehouse Greenplum as data warehouse of enterprise. This solution can improve the timeliness of data processing, make the decision n, aker quickly detect changes of market grasp market opportunities and formulate appropriate decisions to seize the market. This paper performs several mining experiments in different databases by using association rules mining algorithm to analyze the performance advantages of Greenplum.

关 键 词：数据库 Greenplum 数据挖掘 数据处理 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]