Mr. Raghavender Reddy Puchhakayala

Federated SQL Optimizers: A Privacy-Preserving Path to Faster Analytics

Abstract:

Federated SQL Optimizers enable faster, privacy-preserving analytics across multi-cloud environments by training query models locally on each data warehouse and securely aggregating them without moving raw data. This approach improves query latency by 12% and indexing efficiency by 8%, while ensuring full compliance and data sovereignty. With scalable Kubernetes deployment and cross-platform compatibility, it delivers measurable performance gains without compromising privacy—offering a practical solution for modern, compliance-driven analytics needs