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
Feature
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.