Accelerating Database Efficiency in Complex IT Infrastructures: Advanced Techniques for Optimizing Performance, Scalability, and Data Management in Distributed Systems

Abstract

This research paper explores strategies for enhancing database efficiency in complex IT infrastructures, emphasizing the critical importance of database performance for application responsiveness, scalability, resource utilization, user experience, and competitiveness. The study identifies key challenges such as system heterogeneity, growing data volumes, and diverse data types, and it proposes solutions focusing on both relational and non-relational databases. The research aims to improve database performance through query optimization, effective indexing, caching, load balancing, and data partitioning, while addressing specific issues in distributed, multi-model, and hybrid environments. Metrics like transactions per second (TPS), query response times, and storage utilization are discussed as benchmarks for efficiency, alongside factors like hardware resources, database design, and indexing strategies. By providing a comprehensive analysis and practical techniques, this research contributes valuable insights for optimizing database systems, ensuring high performance and reliability in modern, complex IT environments.