欢迎访问行业研究报告数据库

行业分类

当前位置:首页 > 报告详细信息

找到报告 1 篇 当前为第 1 页 共 1

SQL到Hadoop和回来,第2部分:LeveragingHBase和Hive

SQL to Hadoop and back again, Part 2: LeveragingHBase and Hive
作者:Martin C. Brown 加工时间:2013-12-05 信息来源:IBM 索取原文[18 页]
关键词:数据存储;交换;空间;大数据
摘 要:"Big data" is a term that has been used regularly now for almost a decade, and it — alongwith technologies like NoSQL — are seen as the replacements for the long-successfulRDBMS solutions that use SQL. Today, DB2?, Oracle, Microsoft? SQL Server MySQL, andPostgreSQL dominate the SQL space and still make up a considerable proportion of the overallmarket. Here in Part 2, we will concentrate on how to use HBase and Hive for exchanging datawith your SQL data stores. From the outside, the two systems seem to be largely similar, butthe systems have very different goals and aims. Let's start by looking at how the two systemsdiffer and how we can take advantage of that in our big data requirements.
© 2016 武汉世讯达文化传播有限责任公司 版权所有 技术支持:武汉中网维优
客服中心

QQ咨询


点击这里给我发消息 客服员


电话咨询


027-87841330


微信公众号




展开客服