Build an Open Source Streaming Data Pipeline

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Covers building a high-volume streaming data pipeline using Apache Kafka for high-throughput, low-latency message storage and transport, combined with Apache Flink as a distributed stateful compute engine to perform complex streaming transformations expressed with SQL. Explains the shift from long-running batch processing to continuous streaming and demonstrates assembling these open-source components for production-style streaming workflows.

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