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电信运营商大数据发展策略探讨 被引量:57

Big Data Development Strategy for Telecom Operators
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摘要 随着互联网业务和应用的迅猛发展以及移动互联网的爆炸式增长,电信运营商客户行为数据、网络运维数据、信令数据等海量数据的存储与分析日益成为电信运营商的重要挑战,大数据技术的出现与发展为电信运营商深挖数据提供了新的技术手段,同时也为其更好地服务客户提供了新的机遇。本文结合大数据的技术现状以及电信运营商的数据特点,分析了大数据技术在电信运营商的适用性,探讨了电信运营商应用大数据的策略,并提出了一种参考性的平台架构,以推动电信运营商对大数据技术的应用。 With the rapid development of internet and dramatic growth of mobile services, the storage and process of massive data are becoming a big challenge for telecom operators. Big data technologies provide a new solution for the operators to mine massive data in depth as well as a new opportunity to provide better services for their customers. The applicability of big data technologies for operators were analyzed, based on the comprehensive analysis of big data technologies and teleeom operators' data characteristics. The big data development strategy for telecom operators was discussed and a conceptual technical architecture was also proposed in order to push the application of big data technologies.
出处 《电信科学》 北大核心 2013年第3期6-11,共6页 Telecommunications Science
关键词 电信运营商 大数据 策略 teleeom operator, big data, strategy
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  • 1White Tom.Hadoop: the Definitive Guide. O'Reilly Media, p.3. ISBN978-1-4493-3877-0, 2012.
  • 2Nancy Lynch, Seth Gilbert. Brewer's conjecture and thefeasibility of consistent, available, partition-tolerant web services. ACM SIGACT News, 2002, 33(2):51-59.
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