Research on Teaching Practice of Big Data Platform Deployment and Operation Course with Shipping Characteristics

Enze Wu; Yujuan Zou; Taizhi Lv

doi:10.54097/0debmh68

Authors

Enze Wu
Yujuan Zou
Taizhi Lv

DOI:

https://doi.org/10.54097/0debmh68

Keywords:

Talent cultivation, Vocational education, Big data technology, Big data platform deployment and operation, Shipping characteristics

Abstract

In the era of big data, big data technology has been widely applied, and the operation and maintenance of big data platforms, as a crucial component supporting these applications, has gradually become an indispensable part of enterprise IT architecture. The demand for talents with big data platform operation and maintenance skills is increasing. For higher vocational education institutions, how to cultivate big data platform operation and maintenance talents that meet professional requirements has become an urgent problem to be solved. In order to satisfy the enterprise demand for big data platform operation and maintenance talents and enhance students' employment competitiveness, this paper discusses the teaching content and teaching organization practice of the "Big Data Platform Deployment and Operation" course. The course adopts a project-based teaching mode, integrating the project case of "Ship Shore Power Data Analysis System" into the theoretical knowledge and technical explanations at various stages of the course. At the same time, it deeply excavates the ideological and political elements of maritime power and green environmental protection contained in the project, constructs a teaching mode with obvious shipping characteristics, and improves the quality of talent cultivation.

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