数据仓库Hive搭建与应用——以网站流量统计分析为例  

Building and Application of Data Warehouse Hive——Taking Website Traffic Statistics and Analysis as an Example

作　　者：杨小英[1] YANG Xiaoying(Suzhou Vocational Institute of Industrial Technology,Suzhou Jiangsu 215104,China)

机构地区：[1]苏州工业职业技术学院,江苏苏州215104

出　　处：《信息与电脑》2023年第21期70-72,共3页Information & Computer

摘　　要：云计算等技术的发展,推动了海量数据存储和处理技术的发展,从海量数据中快速找到有价值的信息是进行数据挖掘的关键。Hive能够使用Hibernate查询语言(Hibernate Query Language,HQL)语句对数据进行查询和分析,帮助决策者从海量数据中挖掘出更高价值的信息。以网站流量统计分析为例,从Hive的环境搭建、数据仓库构建、数据查询等方面介绍了Hive的应用。With the rapid development of cloud computing and other applications,the development of massive data storage and processing technology has been promoted.The key to data mining is to quickly find valuable information through highspeed access and efficient processing and analysis of these massive data.Hive can use Hibernate Query Language(HQL)statements to query and analyze data,helping decision-makers mine higher value information from massive amounts of data.This article takes website traffic statistics and analysis as an example to introduce the application of Hive from the aspects of environment construction,data warehouse construction,and data query.

关 键 词：Hive 数据仓库 流量统计 Hibernate查询语言(HQL) 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]