Spark Streaming is an extension of the core Apache Spark API that enables scalable, high-throughput, fault-tolerant live data stream processing. It supports ingesting data from various sources like Kafka, Flume, Kinesis, or TCP sockets, and allows you to process this data using high-level functions like map, reduce, join, and window operations. It's commonly used for real-time analytics, monitoring, and alerting applications where immediate insights from streaming data are crucial.
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