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Introduction

The Lab is designed for students majoring in big data technology and related fields. It provides practical project resources and supporting practical teaching platforms based on the latest big data application technologies and mainstream tools in the transportation industry. The Lab is designed to meet the typical job tasks and professional technical abilities required for big data technology talent in the transportation industry. Through practice, students will be able to use big data professional core knowledge and mainstream technologies and tools in transportation industry projects, and master the setup and configuration of the Flink-based Hadoop distributed cluster, be familiar with the components of the Hadoop ecosystem, and be familiar with the full stack of mainstream technologies for big data collection, storage, processing, analysis, mining, and visualization.

Corporate Positions: Big Data Development Engineer, Big Data Data Collection and Processing Engineer, Big Data Analysis and Visualization Engineer, Big Data Implementation and Maintenance Engineer

Applicable Majors: Colleges and universities majoring in big data technology Project Products: Transportation Big Data Collection and Processing Practice Project (Real-time and Offline Processing System for Transportation Travel Data), Transportation Big Data Analysis and Visualization Practice Project (Transportation Travel Analysis and Visualization System), Transportation Big Data Implementation and Maintenance Practice Project (Deployment of Flink Transportation Big Data Platform), and Big Data Stack Technology Integrated Practice (Transportation Big Data Statistical Analysis Platform)

Project Courses：a number of post level and post group level projects based on the application of big data in the transportation industry, including big data collection and processing, big data analysis and visualization, big data deployment and operation and maintenance training

Applicable Scenarios: Professional Teaching, Integrated Training, Competition Training

Industry-oriented and covering cutting-edge technologies

We use the mainstream development technologies of enterprises, with Flink technology as the core, and applies ClickHouse columnar database management system and Flink CDC technology to store and analyze large-scale data in real time. We use Python programming and Superset interactive data visualization tools to complete data visualization implementation, apply SpringBoot and Vue frameworks to realize the web display of data visualization dashboards, training students' big data full-stack development skills.

Industry-level case features, teaching-oriented disassembly

Based on the unique TOPCARES educational methodology of Neusoft, the industrial-level project is disassembled into a progressive project system, from simple to complex, to help students gradually exercise and improve their practical skills. It provides 3 position-level and 1 position cluster-level projects, carrying out step-by-step training for different job positions.