基于大数据的高校财务样本数据库研究

Research of the university financial sample database in the perspective of big data

研究了大数据算法在高校财务数据分析中的应用,提出了基于水库抽样算法建立样本数据库的方法,结果表明:基于水库抽样算法建立样本数据库,能够大幅缩短建立时间、系统开销小、且建立完成后其内部数据具有良好的均匀特性,可有效解决传统高校财务管理中基础数据样本生成时间长、开销大、分布不均匀的缺点,提高了财务基础数据分析质量,推动了高校财务管理工作的发展.

This paper studies the application of the algorithm based on big data to the analysis of university financial data, and an approach of constructing the sample database based on the reservoir sampling algorithm is presented. The results show that via the above - mentioned approach, the system overhead and the construction time can be re-duced obviously. Further more, with the completion of the database comes the excellent uniform distribution of the data. Therefore, it can effectively solve the problems in the traditional university financial management, such as the long generated time, the high cost and the uneven distribution of the basic data samples. Besides,the research can improve the quality of financial data analysis, and promote the development of financial management in colleges and universities.