Constructing an Innovative Development Platform for Marxist Theory Education in Colleges and Universities by Using Big Data Technology under the Concept of Green and Healthy Development

Abstract

The green and healthy development concept provides effective theoretical guidance for efficient Marxist theory education innovation, and big data technology can provide technical support for the construction of the education platform. This paper starts from the concept of green and healthy development, and constructs the Marxist theory education ecosystem in this way. Technical analysis was carried out for the innovative development platform, including SpringMVC Web framework, Hadoop service framework and HBase data warehouse. An efficient Marxist theory education innovation and development platform was constructed by using big data technology to unite the education ecosystem, and a performance test analysis was carried out to verify the effectiveness of the platform. The results show that the average I/O rate of Hadoop cluster performance for write operations is 92.37MB/s, and the average I/O rate for read operations is 365.68MB/s. The speed of single-threaded data insertion can be up to 22,549 times per second, and the number of multi-threaded concurrent data queries can be up to 9,102 times. The use of big data technology can ensure that the innovation and development platform can operate effectively and provide solid technical support for the innovation and development of Marxist theory in colleges and universities.