Author(s)

Cheng Chen

Corresponding Author

Cheng Chen

Abstract

In the era of big data, computer information processing technology faces many challenges. To address these issues, it is necessary to seek practical and effective solutions. Optimizing algorithms and improving data structures are key to improving data processing performance. Utilize cloud computing and distributed storage technology to achieve fast data storage and access, and improve processing efficiency. To address the diversity and dynamism of data, it is necessary to strengthen data preprocessing and feature extraction. Improve data quality through preprocessing such as data cleaning and conversion; Using advanced feature extraction techniques to extract valuable information from massive data. Data security and privacy protection are crucial. Strengthen talent cultivation and team building, cultivate professional data processing talents, establish efficient collaboration mechanisms, jointly address challenges, and promote the innovative application of big data technology. Solving computer information processing problems under big data requires starting from multiple aspects such as algorithm optimization, data preprocessing, security and privacy protection, and talent cultivation. By implementing comprehensive policies, we aim to improve processing efficiency and security, and support the development of the big data era.

Keywords

Big data; Computer information processing; Problem analysis