Research on Logistics Management Information System Based on Big Data

To transform data into wealth more efficiently in a variety of databases, to realize the intelligent real-time monitoring of logistics data, this paper discusses the application of data mining in logistics information system by describing the development status of logistics industry in the era of big data. Firstly, the basic components, construction modules and working mechanism of Hadoop ecosystem are deeply analyzed and studied; the standard process of big data mining process is analyzed and the design idea and process of traditional K-means algorithm are deeply studied and improved. Through the construction of Hadoop cloud computing platform and the analysis of customer transaction volume, profit, order quantity and credit degree and other data and characteristics, the feasibility and effectiveness of the improved algorithm applied to Hadoop cloud computing platform is verified, combined with other industry data evaluation and analysis experience. The results show that the improved scheme has obvious advantages in big data processing, which provides a new technical means for optimizing logistics management and improving statistical efficiency.