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Explores event time vs. processing time, stream processing operations, stream-stream joins, and handling late/out-of-order data in data stream processing.
Covers the fundamentals of data stream processing, including real-time insights, industry applications, and practical exercises on Kafka and Spark Streaming.
Introduces data stream processing, covering batch vs stream processing, real-time insights, applications, challenges, and tools like Apache Kafka and Spark Streaming.
