The impact of artificial intelligence on database normalization when working with BigData

In the context of the rapid growth of data volumes, the development of effective methods for their management and analysis becomes an urgent task. Database normalization, which traditionally requires significant time and human resources, faces difficulties when working with big data. This article examines the impact of artificial intelligence (AI) on database normalization processes in the context of Big Data. It is shown that AI is able to automate data analysis, optimize database schemas, identify patterns and anomalies, and integrate data from various sources. The use of AI can significantly improve the efficiency of database normalization, reduce redundancy and ensure data integrity. These capabilities contribute to improved data management, database performance and scalability. The article is based on the analysis of modern research and practical experience, which confirms the high potential of AI in transforming approaches to big data management.