Transportation Big Data Training Lab
Introduction
Neusoft Transportation Big Data Training Lab is for data science and big data technology and big data related majors, based on the latest technology and mainstream tools of big data application in the transportation industry, and focuses on the typical work tasks and professional technical ability requirements of big data technical talents in the transportation industry. It provides practical project resources and supporting practical teaching platform aiming at cultivating the core competence of big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance. Through practice, students will comprehensively apply the professional knowledge of big data and mainstream technologies and tools, master the construction and configuration of Hadoop distributed cluster with Flink as the core, be familiar with the components of Hadoop ecosystem, be familiar with the mainstream technologies of big data collection, storage, processing, analysis and mining as well as data visualization full stack
Enterprise Positions: big data development engineer, big data acquisition and processing engineer, big data analysis and visualization engineer, big data implementation and operation and maintenance engineer
Applicable Majors: university data science and big data technology major
Project Products: a number of projects based on the application of big data in the transportation industry, including big data collection and processing, big data storage, big data analysis and visualization ability training
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
In line with the industry covers the cutting-edge technology of enterprises
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.
Neusoft Transportation Big Data Training Lab is for data science and big data technology and big data related majors, based on the latest technology and mainstream tools of big data application in the transportation industry, and focuses on the typical work tasks and professional technical ability requirements of big data technical talents in the transportation industry. It provides practical project resources and supporting practical teaching platform aiming at cultivating the core competence of big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance. Through practice, students will comprehensively apply the professional knowledge of big data and mainstream technologies and tools, master the construction and configuration of Hadoop distributed cluster with Flink as the core, be familiar with the components of Hadoop ecosystem, be familiar with the mainstream technologies of big data collection, storage, processing, analysis and mining as well as data visualization full stack
Enterprise Positions: big data development engineer, big data acquisition and processing engineer, big data analysis and visualization engineer, big data implementation and operation and maintenance engineer
Applicable Majors: university data science and big data technology major
Project Products: a number of projects based on the application of big data in the transportation industry, including big data collection and processing, big data storage, big data analysis and visualization ability training
Application Scenarios: professional teaching, comprehensive practical training, competition training
Feature
In line with the industry covers the cutting-edge technology of enterprises
Using the mainstream development technology, Flink technology as the core, the application of ClickHouse column database management system and Flink CDC technology real-time storage and analysis of large-scale data; Using Python programming and Supetset interactive data visualization tool to complete the visualization of data; SpringBoot and Vue frameworks were applied to realize the visualization of large screen web pages, and to 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.