Explore the fundamentals of Spark Structured Streaming, focusing on its advantages, use cases, and core concepts such as sources, sinks, and streaming aggregates. This lecture is ideal for data engineers and professionals interested in real-time data processing, covering practical examples and scenarios like fraud detection, cybersecurity, and real-time decision-making. Gain insights into configuring micro-batch processing, handling duplicates, and utilizing various streaming sources like Kafka and Azure Event Hub.