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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.
Explores non-conventional manufacturing processes like grinding, electro-discharge machining, and waterjet cutting, including modelling and related processes.
Covers data stream processing concepts, focusing on Apache Kafka and Spark Streaming integration, event time management, and project implementation guidelines.