Cultivation of Innovative Talents in Higher Education Based on Big Data With the continuous improvement of the informatization level of higher education in China, higher education with the core goal of cultivating innovative talents has become a dataintensive research and practice field, and has begun to show the typical characteristics of big data, such as large amount of data, diverse types and low value density. Starting from the data background, this paper analyzes the necessity and advantages of cultivating innovative talents in higher education with the help of big data, and puts forward four training measures including data analysis, innovative research and development, policy integration and practice expansion. The research results are as follows.

Integration of Information Technology and Teaching in Vocational Colleges Based on Computer Big Data System In this paper, the idea of combining theory with practice is adopted. Firstly, the characteristics and current situation of teaching mode reform in Higher Vocational Colleges in the information age are comprehensively analyzed through investigation. Through the analysis of the current situation of the deep integration of information technology and classroom teaching, this paper analyses the factors that affect the effect of the promotion, puts forward solutions and makes feasibility analysis. With the help of large data technology, the corresponding abstract model is constructed. Then, based on the data, the optimal management information model of university education and teaching is analyzed, which theoretically proves the rationality of the big data technology and sample data reconstruction method presented in this paper. The experimental results show that compared with typical DSmeans, the information development strategy proposed in this paper can not only greatly reduce the communication cost between network nodes, but also improve the information efficiency of the global teaching management on average about 10%.