Design of Data Information Technology Optimization based on Deep Learning

System optimization is the main content of big data technology, but in the process of big data technology management, data changes and computing methods will manage big data influence as well as minimize rationality of system optimization. This paper proposes a deep learning algorithm to optimize and analyze the data information technology, enhance a development level of big data technology, and shorten the time of data statistics formulation. Then, the big data is estimated comprehensively. Finally, continuous monitoring is used to optimize the data information technology. Deep learning method can identify the relationship between information and data, better analyze data correlation, simplify the complexity between data and improve the accuracy of information analysis. The deep learning (DL) algorithm can accurately calculate parameters, improve the level of data information technology, and the rationality is greater, and better than traditional statistics law. Therefore, the deep learning algorithm can meet the requirements, and is appropriate for continuous examination of the development of information technology.