摘要
大数据具有传统数据所不具有的数量大、种类多、速度快、真实性等特点,传统的数据查询技术满足不了日益增长的大数据查询需求,大数据查询技术应运而生并迅速发展。从大数据查询的角度出发,着重分析大数据存储技术、大数据处理平台以及大数据查询引擎等。分别对比介绍传统关系型数据库、NoSQL、NewSQL和它们在大数据查询处理上的应用,介绍当前流行的大数据处理平台以及在这些平台上运行的大数据查询引擎,对其优缺点进行了综合阐述。
Big data has the characteristics such as summed up to volume,variety,velocity and veracity while traditional data doesn＇t have. As traditional technology doesn＇t meet the big data query,big data query technology has arose at the historic moment and was maturing rapidly. From the perspective of big data query,this paper analyzed the big data storage technology,big data processing platform and big data query engine,etc. This paper introduced traditional relational database,NoSQL,NewSQL and their application on big data query processing. Also,the current popular big data processing platforms and the big data query engines running on them were introduced,and an overview about their advantages and disadvantages was made.
出处
《计算机与现代化》
2017年第4期82-88,共7页
Computer and Modernization
关键词
大数据
查询
存储
处理平台
查询引擎
big data
query
storage
processing platform
query engine
