Research on Financial Information Integration of Agricultural Supply-Side Structural Reform in Heilongjiang Province Under the Framework of Big Data

Abstract

Aiming at the low efficiency of financial information integration in agricultural supply-side structural reform caused by existing technologies, this paper studies the financial information integration of agricultural supply-side structural reform in Heilongjiang province under the framework of big data. The web extraction model is used to extract financial information of agricultural supply-side structural reform in Heilongjiang province from various web pages, and the extracted XML data files are sorted to remove the repetitive financial information. The sorted financial information is mapped to the database according to the set mapping rules. Clustering algorithm is used to integrate financial information data in database. In order to verify the research effect of financial information data integration under big data architecture, a comparative experiment is conducted with traditional information integration. The experimental results show that the proposed financial information integration efficiency of agricultural supply-side structural reform in Heilongjiang province under the big data framework is nearly 30% higher than the traditional integration efficiency, which is more advantageous.