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Day 3: Stream Processing with Spark

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Section outline

◄Day 2: Custom APIs and Java Integration
►Day 4: Performance Tuning & Security

    • Spark as Kafka consumer/producer

    • Stateful and window operations

    • Stream-table joins, handling late data

    • Lab: Kafka + Spark streaming analysis

◄Day 2: Custom APIs and Java Integration
►Day 4: Performance Tuning & Security

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