Exploring the Application and Practice of Computer Science Technology in the Big Data Era

Zhangbo Shi

doi:10.5281/zenodo.15534391

Authors

Zhangbo Shi International Business Economic, University of Nottingham Ningbo China, Ningbo, Zhejiang, China Author

DOI:

https://doi.org/10.5281/zenodo.15534391

Keywords:

big data, computer science technology, data storage, data analysis, practical applications, privacy and security

Abstract

With the advent of the big data era, computer science technology faces unprecedented challenges and opportunities. This paper aims to explore the practical applications of computer science technology in the big data era, analyzing the fundamental concepts and characteristics of big data while delving into technological advancements and innovations in data storage, processing, analysis, and their applications, as demonstrated through real-world case studies. The paper begins by reviewing the foundational theories of big data and computer science, examining data storage and management technologies such as Hadoop and NoSQL databases, as well as data processing and analysis frameworks like MapReduce and Spark. It then provides an in-depth analysis of big data applications in industries such as healthcare, finance, smart manufacturing, the Internet of Things (IoT), and public safety, highlighting their critical role in improving efficiency, optimizing decision-making, and driving technological innovation. Finally, the paper addresses challenges related to privacy and security, data quality, and future trends in big data technology. This study offers valuable insights and references for understanding the practical applications and development of big data technology across various industries.

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