摘要
传统IT平台架构无法应对大数据井喷式的数据管理和存储压力。本文站在更好地服务大数据采集和分析的角度,设计了大数据背景下的IT平台架构,同时还比较了并行计算、网格计算等几种重要的架构承载技术,比较了其各自的优势和不足。
The traditional IT platform can not deal with the data management and storage pressure of big data blowout type. This article stands in the better service data acquisition and analysis angle design under the background of big data it platform architecture, the parallel computing, grid computing and so on several important architecture bearing technology, compared with their respective advantages and shortcomings.
出处
《科技视界》
2015年第30期108-109,共2页
Science & Technology Vision
关键词
大数据
软件架构
并行计算、网格计算
索引
Big data
Software architecture
Parallel computing
Grid computing
Index
