Today, with globalization, a large amount of data is produced every day, and various big data application systems emerge in an endless stream. How to deal with big data quickly and efficiently is one of the key technologies in the current application system. With the development and improvement of cloud computing technology, big data application systems have been put on the cloud one after another. This paper analyzes the relevant factors that affect the processing efficiency of big data on cloud platform, and proposes an enlightening inductive load balancing method to optimize the processing efficiency. The enlightening inductive load balancing method reduces the time of task deployment on cloud platform, achieves better load balancing effect on cloud computing platform, and improves the processing efficiency of big data.