During transmission of streaming video data, there are quite high requirements for timeliness, transmission efficiency, and transmission accuracy. This study focuses on the application of real-time big data stream processing, analyzes the difficulties and key technologies required for streaming media video data in real-time transmission, and achieves a high-performance, low-latency distributed real-time transmission system by the Storm processing technology. Then, we set up the Storm framework on Linux system, design and implement the transmission topology task of streaming video data, while deploy Zookeeper to provide efficient and reliable distributed coordination services for this framework, and finally build a streaming server for video storage and client-on-demand. After setting up the target system, it passed the real-time transmission test of large-scale streaming media data.