Teaching System Structure in Financial College Based on Big Data
Abstract
With the advent of the era of big data, the surge in data volume has brought unprecedented opportunities and challenges to data mining. The complexity of big data has made data mining talents have stronger data organization, analysis capabilities and higher comprehensive quality. The university's data mining profession assumes the responsibility of cultivating data analysis talents, and is able to cultivate talents that meet the needs of the big data era, and master the skills of big data analysis technology, big data platform design, and big data platform maintenance. This paper proposes several innovations in the talent training mode by studying the data mining professional talent training mode under the background of big data, and finally gives a summary and outlook.
Keywords
Big data platform, Curriculum design, System architecture
DOI
10.12783/dtssehs/aems2018/27992
10.12783/dtssehs/aems2018/27992