Big Data
Solution Overview
The Big Data Engineering and Technology Professional-Practice Integration Practice Center is designed to meet the development system of the next-generation information technology industry and the new era's demand for digital skilled workers. It focuses on the cultivation of "digital craftsmen" for positions such as big data collection and processing, big data analysis and visualization, big data implementation and operation and development. It builds a comprehensive, step-by-step integrated practical teaching system covering the entire process of talent cultivation, and constructs corresponding hardware and software training equipment and environments, intelligent management platforms, and related training teaching documents and resources. It establishes a digital industry craftsman training platform with a focus on job-related skills, real-world production scenarios, integration of vocational certification and competitions, progressive training systems, and intelligent platform-driven.
Feature
• Industrialization of project scenarios, with projects from real industry scenarios of Dongshuang, including big data for transportation, financial big data, and e-commerce big data.
• Teaching-oriented project case, with project-based teaching disassembly and modification to achieve the alignment of industrial-level project technologies and teaching.
• The supporting resources are refined, with a set of ten supporting resources, including instruction manuals, lesson plans, teaching videos, examination questionnaires, practice exercises, experiment environments, material packages, source code, and interface documentation.
Construction Content
Target Job Positions
Through industry demand research and analysis, the most in-demand positions in the future industry were identified, with the highest demand for junior college students being the positions of big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance, and big data development. The target job positions are clearly defined as big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance, and big data development.
Practical Course Resources
The typical work tasks and professional capabilities required for the target job positions are transformed into a modularized curriculum system with an "engineering ability orientation, integration of job, competition, and certification" approach. Among them, there are four core courses and four practical courses.
Traffic Big Data Integrated Practice Project
The traffic big data integrated practice project is designed to simulate the data generated by traffic monitoring equipment, and provides information and insights on traffic flow, traffic violations, and traffic safety through real-time and offline data analysis methods. The overall implementation process of introducing big data platform into the project, with technical coverage of key work tasks in the five modules of big data platform setup, data collection, processing, data analysis and mining, and data visualization, can support the cultivation of job capabilities in big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
Financial Big Data Comprehensive Practice Project
The financial big data comprehensive practice project analyzes the transaction data, account information, and credit card usage records of bank customers to understand their consumption patterns and savings tendencies, as well as loan-related data such as borrowing amounts, repayment situations, loan structures, and interest rates. It can evaluate the operating status of loan businesses and timely discover and manage potential credit risks. The project introduces the overall implementation process of big data platform, with technical coverage of key work tasks in the five modules of big data platform setup, data collection, processing, data analysis and mining, and data visualization, which can support the cultivation of job capabilities in big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
E-commerce Big Data Comprehensive Practice Project
The e-commerce big data comprehensive practice project takes the e-commerce scenario as the entry point and analyzes the data in the e-commerce backend for comprehensive user analysis and trend analysis, as well as the analysis of the effect of product sales and marketing. The overall implementation process of introducing a big data platform into a project, including the key work tasks of building a big data platform, data collection, processing, data analysis and mining, and data visualization, covers five modules of technology, which can support the cultivation of job capabilities such as big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
Integrated Smart Education Platform
The integrated smart education platform comprehensively integrates various application scenarios such as teaching, learning, management, training, and evaluation, providing powerful data support and decision-making basis for managers and providing personalized and intelligent lifelong education services such as vocational education, employment and self-improvement for students; providing a smart teaching environment for teachers to conduct blended learning and convenient teaching interaction tools to steadily improve teaching quality.
Targeted Majors
College of Higher Vocational Education: Big Data Technology, Artificial Intelligence Technology Application, etc.
Typical Case
The Big Data Engineering and Technology Professional-Practice Integration Practice Center is designed to meet the development system of the next-generation information technology industry and the new era's demand for digital skilled workers. It focuses on the cultivation of "digital craftsmen" for positions such as big data collection and processing, big data analysis and visualization, big data implementation and operation and development. It builds a comprehensive, step-by-step integrated practical teaching system covering the entire process of talent cultivation, and constructs corresponding hardware and software training equipment and environments, intelligent management platforms, and related training teaching documents and resources. It establishes a digital industry craftsman training platform with a focus on job-related skills, real-world production scenarios, integration of vocational certification and competitions, progressive training systems, and intelligent platform-driven.
Feature
• Industrialization of project scenarios, with projects from real industry scenarios of Dongshuang, including big data for transportation, financial big data, and e-commerce big data.
• Teaching-oriented project case, with project-based teaching disassembly and modification to achieve the alignment of industrial-level project technologies and teaching.
• Cutting-edge project technology, including offline data warehouses, real-time data warehouses, stream data lakes, and Cube cubes; a comprehensive software ecosystem covering core technologies to development languages.
• The project system is advanced, with five-level projects spanning multiple specialized courses, which can cover a range of positions, including big data collection and processing, data analysis and visualization, and big data implementation and operation and maintenance.
• The project training is engineered, following engineering specifications, standards, and procedures, and aligning with big data application development and the Brick Big Data Analysis and Application Decision Competition.• The supporting resources are refined, with a set of ten supporting resources, including instruction manuals, lesson plans, teaching videos, examination questionnaires, practice exercises, experiment environments, material packages, source code, and interface documentation.
Construction Content
Target Job Positions
Through industry demand research and analysis, the most in-demand positions in the future industry were identified, with the highest demand for junior college students being the positions of big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance, and big data development. The target job positions are clearly defined as big data collection and processing, big data analysis and visualization, big data implementation and operation and maintenance, and big data development.
Practical Course Resources
The typical work tasks and professional capabilities required for the target job positions are transformed into a modularized curriculum system with an "engineering ability orientation, integration of job, competition, and certification" approach. Among them, there are four core courses and four practical courses.
Traffic Big Data Integrated Practice Project
The traffic big data integrated practice project is designed to simulate the data generated by traffic monitoring equipment, and provides information and insights on traffic flow, traffic violations, and traffic safety through real-time and offline data analysis methods. The overall implementation process of introducing big data platform into the project, with technical coverage of key work tasks in the five modules of big data platform setup, data collection, processing, data analysis and mining, and data visualization, can support the cultivation of job capabilities in big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
Financial Big Data Comprehensive Practice Project
The financial big data comprehensive practice project analyzes the transaction data, account information, and credit card usage records of bank customers to understand their consumption patterns and savings tendencies, as well as loan-related data such as borrowing amounts, repayment situations, loan structures, and interest rates. It can evaluate the operating status of loan businesses and timely discover and manage potential credit risks. The project introduces the overall implementation process of big data platform, with technical coverage of key work tasks in the five modules of big data platform setup, data collection, processing, data analysis and mining, and data visualization, which can support the cultivation of job capabilities in big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
E-commerce Big Data Comprehensive Practice Project
The e-commerce big data comprehensive practice project takes the e-commerce scenario as the entry point and analyzes the data in the e-commerce backend for comprehensive user analysis and trend analysis, as well as the analysis of the effect of product sales and marketing. The overall implementation process of introducing a big data platform into a project, including the key work tasks of building a big data platform, data collection, processing, data analysis and mining, and data visualization, covers five modules of technology, which can support the cultivation of job capabilities such as big data collection and processing, big data analysis and visualization, and big data implementation and operation and maintenance.
Integrated Smart Education Platform
The integrated smart education platform comprehensively integrates various application scenarios such as teaching, learning, management, training, and evaluation, providing powerful data support and decision-making basis for managers and providing personalized and intelligent lifelong education services such as vocational education, employment and self-improvement for students; providing a smart teaching environment for teachers to conduct blended learning and convenient teaching interaction tools to steadily improve teaching quality.
Targeted Majors
College of Higher Vocational Education: Big Data Technology, Artificial Intelligence Technology Application, etc.
Typical Case
Fujian Information Vocational and Technical College "Big Data Vocational Education and Training Base" Project
Guangdong Science and Technology Vocational College "Artificial Intelligence Innovation Center" Project
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