In this episode, the relationship and shared architecture between Azure Stream Analytics (ASA) and Microsoft Fabric Event Streams are explored, highlighting how both leverage the same underlying engine to process real-time data with millisecond latency. The session details how ASA functions as an event-driven engine for creating standing queries using a SQL-92 dialect or a no-code drag-and-drop interface to yield insights, aggregations, and enrichments on the "hot path" before data hits a database. It is further explained that Fabric Event Streams provides an opinionated, integrated experience that combines ASA and Event Hubs, offering an expanded set of connectors for CDC, external Kafka, and cloud platforms like AWS and GCP. The episode concludes by emphasizing that while Fabric simplifies the user experience, it retains the full power of ASA’s temporal windowing and developer tooling compatibility, making it a high-throughput foundation for modern real-time analytics.