摘要
对于石油销售企业来说,每天企业下属各加油站加油卡的使用都在不断产生交易数据,如何对这些海量数据进行有效挖掘处理成了目前业界的研究热点。本文则为关于加油卡大数据应用提供了一种业界最流行的方法:首先搭建一个数据存储系统,称为数据仓库,能存储海量历史数据;然后,在数据仓库的基础上,引入联机分析处理(OLAP),根据业务部门的不同需求给出各自所需的结果,也供企业高层管理人员进行决策使用。
Transaction data from gas cards are being created and collected continuously everyday at every gas station, which makes it very important to study on how to manage those massive data efficiently. This paper proposes a popular application of big data analysis on massive gas card transaction data： at first, building a data storage system, called Data Warehouse, to store large amounts of historical transaction data; secondly, introducing the On-Line Analytical Processing （OLAP） based on the Data Warehouse. OLAP allows users to extract different kinds of information from the raw data that meets their own needs for either research studies or enterprise decision making purpose.
