Structured Streaming is a scalable and fault-tolerant stream processing engine built on Apache Spark. It allows you to process real-time data from various sources (e.g., Kafka, files, sockets) using Spark's DataFrame/Dataset API. It treats a stream as a continuously updating table, allowing you to use familiar batch processing operations for stream processing. Commonly used for real-time analytics, ETL, and monitoring.
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