The basic purpose of data processing is to extract and infer valuable and meaningful data from a large number of data that may be chaotic and difficult to understand.

According to the structure and working mode of processing equipment and the spatial and temporal distribution of data, there are different data processing methods. Different processing methods need different hardware and software support. Each treatment method has its own characteristics, and the appropriate treatment method should be selected according to the actual environment of the application problem.

Extended data:

In data processing, the calculation is usually simple, and the processing calculation in data processing business varies from business to business, so it is necessary to write an application program to solve it according to the needs of the business.

However, data management is more complicated. Due to the explosive growth of available data and the variety of data, from the perspective of data management, we should not only use data, but also manage data effectively. Therefore, a universal, convenient and efficient management software is needed to manage these data effectively.

Data processing and data management are related, and the quality of data management technology will directly affect the efficiency of data processing. And database technology is a branch of computer application which is researched, developed and perfected according to this demand goal.