电信大数据解决方案及实践

发布时间:2013-08-12 作者:李秋静,叶云 阅读量:

[摘要] 结合全球多个实际案例,提出了一个电信大数据的精简方案架构。方案结合运营商的实际应用场景,挑选合适的组件进行组合,摒弃了通用化的大平台。大数据的发展,一要通过大数据应用提升运营效率,二要通过数据即服务(DAAS)拓展新的服务内容,提供对外服务。在业务实施设过程中,抓取、管理和挖掘电信运营商的核心数据是基础,运营商大数据的快速部署和应用是最终目标,两者需要在效率、成本和时间上取得平衡。

[关键词] 大数据;电信网络;精简架构;数据即服务

[Abstract] In this paper, we discuss a number of domestic and international big-data telecommunications architectures and propose our own lean big-data architecture. This new architecture combines the practical application scenarios of operators, and the universal large platform is abandoned. There are two directions in big-data development: improving business efficiency and providing data as a service (DaaS). Capturing, managing, and mining core data of a telecom operator is the basis for service implementation. Rapid deployment and application of big data is the final target. A balance also needs to be struck between in efficiency, cost and time when deploying a big-data architecture.

[Keywords] big data; telecommunications network; lean architecture; data as a service