Abstract: Aiming at the challenges of data complexity and real-time performance in distribution network scheduling, a cloud computing based big data processing and analysis technology is proposed, taking a regional distribution network in Zhejiang Province as an example. Practical applications have shown that the research results have reduced the average annual number of power outages by 43%, reduced equipment load rates by 9%, and saved energy consumption by 4.7%. Therefore, the proposed technology can provide some reference for intelligent scheduling of distribution networks and has good promotion significance for improving the efficiency of power systems.