Research on Computer Information Processing Technology in the Age of Big Data

In the era of big data, users' access to data information has changed from simple to complex, and from passive to active. A large amount of data covers a large number of valuable information. However, the amount of data is large, and the display area area limitation often causes effective information to be often concealed, cannot be directly obtained, and increases the difficulty of searching. In particular, information with high dimensions, multiple levels, and complex transformations, how to use computer information processing technology to help users quickly obtain information and analyze data is a problem that needs to be solved in the era of big data. To this end, the paper uses data units, primitive relationships and data units to construct data structure methods, establish information models, and propose innovative thinking.