A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves significant performance improvements while establishing robust ...

Abstract: Due to the massive explosion of big data, efficient data lakes with ‘real-time’ data management and ‘autonomous’ query optimization have become inevitable. One of the problems attached to ...

Abstract: Traditional query optimization struggles in distributed and federated database environments. The challenges come from having different types of data sources, network delays, and changing ...