Title: Federated SQL Fabric for Cross-Source Analytics and Enterprise Intelligence Abstract: This paper presents a distributed SQL engine engineered for unified querying across heterogeneous big data repositories and real-time systems. Designed with a modular connector architecture, the system enables seamless integration of data warehouses, Hadoop ecosystems, NoSQL stores, and streaming platforms into a single logical interface. We detail its adaptive execution model, which optimizes for both low-latency business intelligence dashboards and large-scale extract-transform-load pipelines. Performance evaluations demonstrate the system’s ability to serve interactive analytics in milliseconds while concurrently processing petabyte-scale batch workloads, offering enterprises a consolidated platform for scalable, federated business intelligence.