摘要
云计算平台的一个很重要的应用就是对海量数据进行存储和查询处理,传统关系型数据库已经不能满足海量数据的存储和高效查询要求,这就促使了No SQL数据库应运而生,如HBase.以分布式计算框架Hadoop为例,重点阐述在分布式数据库HBase中海量数据的查询方法和策略,为海量数据的查询研究提供一种新的思路.
Nowadays, the cloud computing has gradually a wide range of applications. Cloud computing platform become popular in all walks of life in the community are in is a very important application of massive data storage and query processing. Traditional relational database has been unable to meet the requirements of mass data storage and efficient query. This prompted the NoSQL database came into being, such as HBase. In this paper, the distributed computing framework Hadoop as an example, will focus on the distributed database HBase in the massive data query methods and strategies. The research of this paper provides a new way of thinking for the research of massive data.
出处
《吕梁学院学报》
2017年第2期47-49,共3页
Journal of Lyuiang University