大数据关键技术及运营商落地建议  

Crucial Techniques of Big Data and Suggestions for Telecom Operators

作　　者：魏进武[1] 靳淑娴[2] 张基恒 李卫[1] 

机构地区：[1]中国联通研究院,北京100032 [2]中国联通信息化和电子商务事业部,北京100033

出　　处：《邮电设计技术》2015年第5期9-12,共4页Designing Techniques of Posts and Telecommunications

摘　　要：首先介绍了当下适用于大数据处理的集中热点技术,如Hadoop和MPP。在分析企业实际运营情况的基础上,提出适合运营商的落地建议,包括构架混搭的基础大数据平台、开放式数据分析挖掘平台及数据安全网关,并列举了几类典型的企业级大数据应用。It first introduces the hot techniques for big data processing, such as Hadoop and MPP. Based on the analysis of enterprise operation, it gives suggestions for operators, including the basic big data platform with hybrid architecture, open data analyzing and mining platform, as well as data security gateway, presents several typical enterprise-level big data application.

关 键 词：大数据 电信 HADOOP 分布式处理 

分 类 号：TN919.2[电子电信—通信与信息系统]