Design and Implementation of a New Retail Analysis System Based on Hadoop Technology

With the rapid development of digital technology and the continuous updating of various terminal devices, new retail is gradually becoming an important trend in the retail industry. New retail involves the integration of online and offline, achieving seamless experiences across all channels through technological means, and providing consumers with a more personalized, convenient, and fast shopping experience. This article combines traditional retail backend analysis methods to design and develop a new retail big data analysis platform based on Hadoop. By gradually establishing a hierarchical ODS for data warehouse structures, DWD, DWB, DWS, RPT. By presenting the order data on the FineBI visualization platform at the end, customer service requirements can be more effectively met through various dimensions, achieving inventory optimization and increasing revenue goals.