Research on Big Data Model of Urban and Rural Cold Chain Storage and Distribution in Jilin Province Based on Low Carbon Perspective

Abstract

Logistics involves production, warehousing, distribution, sales, etc., all major links have become the industrial supply chain, resulting in a large number, a wide variety and complex big data. Under the concept of low carbon and environmental protection, the urban and rural cold chain distribution in Jilin Province should also respond to the green development policy, find laws from warehousing and distribution big data, and find a path of resource conservation and cost control. Based on this, the paper relies on Hadoop to design a big data processing platform for cold chain logistics distribution and warehousing in Jilin Province, and put data blocks into data nodes to achieve cold chain logistics data analysis and improve data processing efficiency.