Gain a comprehensive understanding of Spark Structured Streaming in this lecture, focusing on its advantages, use cases, and key concepts like sources, sinks, and streaming aggregates. Ideal for data engineers and professionals interested in real-time data processing, the session covers practical examples, low-latency requirements, and integration with tools like Kafka. Learn how to handle duplicates, manage watermarks, and configure processing intervals to optimize your streaming applications.