Organizations are under increasing pressure to turn raw operational signals into real‑time, AI‑powered decisions. Yet most enterprises continue to operate fragmented data estates built on batch pipelines, isolated databases, and complex integration layers. With the introduction of Microsoft Fabric and SQL Server 2025, the data platform landscape is undergoing a significant transformation—one where streaming, analytics, AI, and transactional systems converge into a unified, end‑to‑end architecture.
This session explores how the combined capabilities of Microsoft Fabric’s Real‑Time Intelligence, Eventstream, KQL Database, Lakehouses, and Data Activator, together with SQL Server 2025’s advancements in native vector search, semantic indexing, accelerated analytics, and zero‑ETL mirroring into Fabric, unlock a new era of real-time data applications. Attendees will learn architectural patterns that seamlessly integrate high‑velocity streaming ingestion with low‑latency analytical queries, and how to operationalize AI models directly within SQL workloads and Fabric pipelines.
Through practical examples and end‑to‑end reference architectures, the session demonstrates how to replace slow batch refreshes with real‑time dashboards, anomaly detection pipelines, and automated actions. We will also examine how unified governance, cross‑platform compute, and OneLake simplify operations while enabling enterprise‑grade reliability and scale.
By the end of this talk, participants will understand how Fabric and SQL Server 2025 together create a foundation for intelligent, real‑time decision systems, enabling teams to build faster, smarter, and more resilient data‑driven applications