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The Lab was established based on Neusoft's extensive experience and knowledge in big data projects within the telecom industry. Its primary objective is to provide practical teaching scenarios and resource support for college teachers and students, including training in the design and implementation of key functional modules for real-time and offline big data processing systems, as well as the design, implementation, analysis, mining, and visualization of big data. Additionally, it aims to enhance familiarity with digital business practices specific to the telecom industry, proficiency in mainstream technologies, tools, processes, and methods for comprehensive application of digital solutions within this industry domain. Furthermore, it seeks to develop an understanding of the business significance behind telecom data while improving problem-solving abilities and fostering innovation skills.
Applicable Majors: university data science and big data technology
Project Products: with the application of telecom big data industry as the background, including big data collection and processing, big data storage, big data analysis and visualization ability training projects
Application Scenarios: professional teaching, comprehensive practical training, competition training.
Feature
In line with the industry covers the cutting-edge technology of enterprises
By building an end-to-end data collection and transmission process, including business data extraction, Hive data warehouse creation, and real-time telecom log collection and transmission, it provides telecom operators with powerful data processing and analysis tools. At the level of data analysis, the project uses Kylin technology to build a Cube cube to realize multidimensional OLAP analysis, correlate multiple data tables from different dimensions, and accelerate the speed of complex query and report generation. At the same time, with the help of Flink real-time computing engine, the real-time collection, processing, storage and user behavior analysis of telecom logs are realized. In terms of data storage, the project has built a large-scale data storage system, including distributed storage and relational database, to store all kinds of telecom data and realize data synchronization and integration. The project uses Logstash tool to efficiently synchronize MySQL data to Elasticsearch, so as to ensure the real-time and accuracy of data and train students' big data full-stack development skills.
Based on Neusoft's characteristic TOPCARES education methodology, industry-level projects are disintegrated into an advanced project system, from simple to deep, from easy to difficult, helping students to gradually exercise and improve their practical ability. 2 post level and 1 post group level projects are provided for advanced training of different post abilities.
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