A solution based on the MPP´S to storage mass data

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.