针对现有的大数据处理平台实时性差、处理耗时长、资源请求慢等问题，采用Storm实时计算技术，结合Flume、 Kafka、Zookeeper等大数据处理组件，设计一个实时数据处理平台。利用tornado+WSGI+Apache技术搭建Web服务器，采用 Echarts技术对处理结果进行可视化分析。以网站访问日志作为数据源，对平台进行验证，通过测试，该平台能够完成网站的点 击率和访客数的实时计算，具有稳定可靠、操作简单、实时性强等特点。

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.