Application and Research of Computer Big Data in Internet Learning and Information Processing

With the continuous progress and development of information technology, a large number of data need to be stored and processed. With the arrival of the era of big data, people's demand for data information is not only limited to simple acquisition, but also tends to gradually accumulate data and actively seek analysis. However, when the amount of data is too large, large data related information storage and processing technology will be widely studied and applied. How to help people acquire data better and faster and analyze data reasonably and efficiently is a problem that needs to be faced in the era of big data. In this paper, three basic models of data structure are analyzed and a new sequential data structure - curve data structure is proposed based on these three data models. At the same time, this paper will focus on the task-level separated data visualization structure model and realize the efficiency of large data information search based on it. Finally, based on the large data of climate and human activities, the structure proposed in this paper will be validated and analyzed from a hierarchical level.