移动互联网大数据关键技术

Key Technologies of Mobile Internet Big Data

随着智能终端的普及,移动互联网得到蓬勃发展。其产生维护了海量的数据信息,包括系统的日志、服务质量、服务调用关系、用户的行为、位置、业务使用偏好等。越来越多的数据使得数据量变得过于庞大、内容过于复杂,难以通过传统的方法进行有效地处理。本文将讨论移动互联网大数据处理的关键技术,包括移动互联网的多源数据采集、海量异构数据管理、实时数据挖掘、高效数据分析与呈现等技术。

With the increased penetration ofintelligent terminals, mobile Intemet is gradually becoming flourishing. It generates and processes massive data sets, such as system logs, QoS information, CDRs, as well as user generated data including behaviors, location, and service preferences. The data grows so that it becomes too large and complex to be effectively processed by traditional approaches. This paper addresses key technologies for mobile Internet big data processing, including multi-source data collection, massive heterogeneous data management and storage, real-time data mining, efficient data analysis and presentation techniques.