The Lab mainly serves the Big Data Technology major, covering over 30 knowledge and skill points related to Big Data implementation and operation. It trains Big Data implementation and operation engineers through 2 core courses with over 120 3-5 level projects and four 2-level advanced projects. It helps students effectively train their job skills.
Enterprise Position: Big Data Implementation and Operation Engineer
Applicable Major: Higher Vocational School Big Data Technology and Other Related Majors
Course Products: big data implementation and operation and maintenance related courses, such as big data platform deployment and operation and maintenance
Project Products: implementation and operation and maintenance training projects for e-commerce, transportation, finance, telecommunications and other industry backgrounds
Applicable Scenes: Professional Teaching, Integrated Training, Competition Training.
Feature
Industry-oriented and covering cutting-edge technologies in the industry
With the goal of mastering the components of big data technology stack, including distributed storage system Hadoop and HDFS, big data processing framework Spark, Flink, data warehouse Hive, data transfer tool Sqoop, real-time data stream processing tool Flume and Kafka, search engine Elasticsearch, and in-memory database Redis, etc., the program helps students experience and master the basic tasks and related technologies of big data application implementation and operation, thereby enhancing their ability to solve practical problems and improve their proficiency in actual operation.
Industry-leading case-based teaching
Based on the TOPCARES educational methodology of Neusoft, the program dissects industrial-level projects into a progressive project system, starting from the basics and gradually becoming more difficult. With 120+ 1-5 level projects, students can gradually enhance their practical skills and improve their abilities.