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In some data-intensive production department, handling with mass data often needs a large amount of calculations, and the corresponding data storage space requirement are also very large. The existing storage and treatment measure already cannot satisfy the users' demand. And mass data storage in enterprise daily production is also one of the most important steps, therefore, how to efficiently store a great quantity of data, is also one of the most important problems facing enterprises. Massively Parallel Processing technology (MPP) is a very efficient way to store a large mounts of data. This article describes a method that how to use parallel processing technology to store the mass data. And in this method, we also use a structure called MapReduce was put forward by google.