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Real-Time Business Analytical Model Using Big Data Strategies for Telecommunication Industry

机译:实时业务分析模型使用电信业的大数据策略

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The volume of data is growing exponentially. By 2020, about 1.7 MB of new information will be created every second for every human being on the planet. There will also be about 6 billion smartphone users and over 50 billion smart connected devices in the world. The traditional data analysis techniques will not be scalable to match the storage and processing capabilities of such high volume of data. Moreover, it becomes important to analyse these data at real-time speed. Distributed computing and platforms, such as Hadoop, will play a vital role to process these data at real-time speed to provide users with real-time reports to help users to make critical decisions. Telecommunication industry will be one of the first industries that will need to handle big data. Most of the users are connected all the time creating multiple sessions per user as well as communicating with multiple devices creating the complex high volume of data that need to be analysed. This paper will highlight the conceptual design of a real-time business intelligence model that provides insights into the telecommunication industry.
机译:数据量呈指数增长。到2020年,每个人在地球上每秒都会创建约1.7 MB的新信息。还将有大约60亿智能手机用户和世界上超过50亿智能连接的设备。传统的数据分析技术不可缩放,以匹配这种大量数据的存储和处理能力。此外,在实时速度下分析这些数据变得重要。分布式计算和平台(例如Hadoop)将在实时速度下处理这些数据的重要作用,以便为用户提供实时报告,以帮助用户做出关键决策。电信行业将是一个需要处理大数据的第一行业之一。大多数用户都连接到每个用户的多个会话以及与多个设备进行通信,从而创建需要分析的复杂大量数据。本文将突出实时商业智能模型的概念设计,为电信行业提供见解。

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