Aiming at the problems of poor real-time performance, long processing time, and slow resource request of the existing big data processing platform, this paper uses Storm real-time computing technology, combined with Flume, Kafka, Zookeeper and other big data processing components to design a real-time data processing platform. It uses tornado+WSGI+Apache technology to build a Web server, and uses Echarts technology to visually analyze the processing results. This article uses the website access log as the da- ta source to verify the platform. Through the test, the platform can complete the real-time calculation of the website's click-through rate and the number of visitors. It has the characteristics of stability, reliability and simple operation.