Data Processing of Used Car Export Service Flow Based on Zookeeper + Kafka

The used car export industry has shown a trend of rapid growth in recent years. The export of used cars involves data pertaining to vehicle information, market demand, logistics, customs, and numerous other aspects. These data are constantly generated in the form of streams, posing challenges to the data processing capabilities of service platforms. Traditional data processing methods struggle to meet the requirements of real-time and large-scale data processing, thus necessitating an efficient streaming data processing architecture. Based on this, this paper proposes a streaming data processing scheme for a used car export service platform utilizing Zookeeper and Kafka. It describes the architecture design and data processing flow, analyzes the advantages of the scheme in terms of reliability, scalability, and real-time performance, and demonstrates its effectiveness through experiments and case studies.