架构大数据:挑战、现状与展望

Architecting Big Data:Challenges,Studies and Forecasts

大数据分析相比于传统的数据仓库应用,具有数据量大、查询分析复杂等特点.为了设计适合大数据分析的数据仓库架构,文中列举了大数据分析平台需要具备的几个重要特性,对当前的主流实现平台——并行数据库、MapReduce及基于两者的混合架构进行了分析归纳,指出了各自的优势及不足,同时也对各个方向的研究现状及作者在大数据分析方面的努力进行了介绍,对未来研究做了展望.

Compared with traditional data warehouse applications,big data analytics are huge and complex.To design a favorable architecture for big data analytics,this paper lists some key features for big data analytics,summarizes current main implementation platforms（parallel databases,MapReduce,and hybrid architectures based on them）,and points their pros and cons.Some current researches are also investigated,our work are introduced and some challenging research problems in the future are discussed.