scholarly journals Based on big data technology to effectively create university cultural and creative innovation and entrepreneurship platform

2021 ◽  
Vol 257 ◽  
pp. 02036
Author(s):  
Shen Jian

There are some problems in the work of innovation and entrepreneurship in Colleges and universities, such as the difficulty of cultural and creative project management, the complexity of competition project selection process, the lack of curriculum system construction ideas, and the lack of innovation and entrepreneurship ability. Through the cloud platform, we can integrate the relevant data of innovation and entrepreneurship, and pass the multi-dimensional massive data through the unified portal Data cloud platform for interaction, customized interactive innovation and entrepreneurship services for each cultural and creative project entrepreneur, realized the clustering and sharing of entrepreneurial resources, unlimited expansion of entrepreneurial space, and benefit sharing in the era of big data.

2021 ◽  
Vol 257 ◽  
pp. 02015
Author(s):  
Xiangming Lin ◽  
Kai Liu ◽  
Yixuan Li

In the wave of informatization, the data generated by enterprise operations has increased rapidly, prompting the intelligent development of enterprise warehousing systems. In the development of BI warehousing systems, the application of big data technology can promote the rapid development of business intelligence warehousing systems. The application of big data technology in the BI warehousing system can improve the service quality of the data intelligence of the warehousing system. Based on data, it provides support for corresponding decision-making, thereby improving the enterprise data management system. Therefore, this article mainly conducts research and analysis on the construction of BI warehousing system under the application of big data technology, and aims to provide a certain reference value for similar events in the future through a detailed explanation of the current situation of BI warehousing system construction and big data technology application.


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