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The telecoms companies' business data are growing exponentially, and how to manage and mine these mass data for supporting the operational decisions is really important. This paper proposed an analysis system based on the Hadoop cloud computing platform in telecoms companies' business data. This platform is fast, with high throughput, stable and extensible. All of these improved performance and efficiency...
In order to deal with massive data processing, China Telecom has deployed a platform named distributed service engine, which is based on parallel cloud computing technology. On this platform, we also developed some tele-data processing system and internet applications to show the effectiveness of this platform. This paper describes the design of this platform and how it can be used in telecom industry.
Data analysis has been widely used in the enterprises for its high efficiency and accuracy, especially in the field of telecommunication industry, such as User Behavior Analysis, Customer Churn Prediction, etc. However, as the exponential growth of data, traditional data analysis tools can not handle such large-scale dataset. Furthermore, as business gets more and more complicated, there is much more...
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