Enhancing SQL Performance for Real-Time Business Intelligence Applications

Abstract

The fine tuning of SQL in real-time BI is very crucial in providing faster and correct result of analysis. This paper examines critical focusing methods such as indexing, query modification, partitioning, and sharding, which one can use to increase the SQL query response rate and scalability. The findings show extraordinary improvements on performance, with the response time on queries halving from between 20 seconds to less than 5 seconds. These optimizations make the systems more concurrent, efficient and scalable allowing timely decision making that is informed by data. This work underscores the relevance of SQL performance tuning in BI systems and underlines its role as a determinant of operational performance.