Bringing Big Data Systems to the Cloud

被引：6

作者：

Khurana, Amandeep ^{[1
]}

机构：

[1] Cloudera, Principal Solut Architect, Palo Alto, CA 94306 USA

来源：

IEEE CLOUD COMPUTING | 2014年 / 1卷 / 03期

关键词：

big data; cloud; Hadoop; HDFS; interactive workloads;

D O I：

10.1109/MCC.2014.47

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Big data systems can use different deployment paradigms based on workloads and access patterns. Opportunities for tighter integration will enable big data systems to leverage public cloud environments more effectively. As both public cloud and big data systems see more adoption and new usage paradigms evolve, new features and enhancements will help make the intersection of the two worlds broader and more mature. © 2014 IEEE.

引用

页码：72 / 75

页数：4