Analysis of the sustainable development path model of resource-based enterprises based on big data technology

With the booming of big data technology, a sustainable development path is an important strategic resource for enterprises. In this paper, a vector is set up by introducing a multidimensional algorithm. Then connect state paths and define an intergenerational criterion. A very large and very small function is generated according to the criterion. The welfare function is set up to obtain the usual expression for the discount rate. Finally, a bivariate is set up to obtain the modified rule, and the implied interest rate is used to define the return rate, based on which the sustainability model is constructed. The experimental results show that the data are collected from enterprises using big data technology, the research is conducted based on the measured objectives, and the non-standardized coefficients are calculated statistically. Among them, the standard error of management resources is 61%, which has the smallest error value compared to other groups.