Principle and Application of Big Data Technology

The 《Principle and Application of Big Data Technology》 is a core course for big data related majors, aimed at building a bridge and link for students to access the "big data knowledge space", and laying a foundation and indicating the direction for students to "deeply cultivate and fine-tune" in the field of big data, based on the principles of "building a knowledge system, clarifying basic principles, guiding preliminary practice, and understanding related applications".The course teaches the basic concepts of big data, the big data processing architecture Hadoop, distributed file system HDFS, distributed database HBase, NoSQL database, distributed parallel programming model MapReduce, and the application of big data in the transportation field, including transportation video big data, transportation trajectory big data, and target recognition big data processing and analysis.Through teaching, students will establish a profile understanding of the big data knowledge system, be able to grasp the core technology principles of big data, namely the ideas and key technology principles of big data distributed storage and distributed computing, and understand the latest development trends.  Focusing on the application of transportation big data in video processing and trajectory prediction, students will be trained to independently analyze and solve problems, cultivate the way of thinking for practical application of big data key technologies, lay the ideological and methodological foundation for intelligent decision-making in future transportation practical applications, and be able to use big data technology principles to think, analyze, and innovate big data applications.