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E-commerce Big Data Training Lab
Introduction
The Lab for big data technology and majors related to big data, is built upon the latest technology and mainstream tools of big data application in the e-commerce industry, focusing on typical work tasks and professional technical skills required for big data professionals in the e-commerce 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.
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
Project Products: with e-commerce big data industry application 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
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.
The Lab for big data technology and majors related to big data, is built upon the latest technology and mainstream tools of big data application in the e-commerce industry, focusing on typical work tasks and professional technical skills required for big data professionals in the e-commerce 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.
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
Project Products: with e-commerce big data industry application 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
Using the mainstream development technology of the enterprise, with Spark technology as the core, It mainly uses Hadoop distributed cluster, data warehouse Hive, data migration tool Sqoop, big data computing engine Spark, data acquisition tool Flume, distributed message queue Kafka, distributed search and analysis engine Elasticsearch, 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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