What is Spark Structured Streaming?

Spark Structured Streaming is a module of Apache Spark that supports real-time data stream processing. It offers an elegant API that allows integrating real-time data stream processing tasks with batch processing tasks, handling real-time data in a manner similar to batch processing. It enables users to utilize the highly reliable and fault-tolerant Spark engine for processing real-time data, simplifying the complexity of data stream processing. Spark Structured Streaming supports various data sources and targets, including file systems, Kafka, Flume, Kinesis, and provides powerful aggregation capabilities, making it easy to achieve tasks such as ETL and machine learning in real-time data stream processing.