Java Web Cloud Data Analysis and Application Based on Spark Machine Learning Algorithm

The rise of information technology has promoted the rapid production of all kinds of information data, with the rapid growth of information data, the problem of data scalability began to appear, the system of data system time and space complexity will be more and more large, which brings great difficulties to the processing of information data. Java web cloud data based on Spark machine learning algorithm provides a new way for information data processing. The purpose of this paper is to analyze Java web cloud data, explore its application, and realize deep data mining and fast processing. This paper gives an overview and analysis of Java web cloud data and Spark machine learning algorithm. It attempts to build a Java web cloud data mining system with the help of Spark machine learning algorithm. First, it explains the basic design principle of the system, then points out the construction framework of the system, and finally carries out a simulation experiment on the system. Experimental results show that the application of Java web cloud data in data mining system is feasible and scientific, which not only changes the way of data storage, but also improves the overall efficiency of data processing.