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Ep 2 - Processing Without Pause: Continuous Stream Processing and Apache Flink®

Life Is But A Stream

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Stream Processing Essentials

This chapter highlights the significance of breaks and time management, illustrating how stream processing enhances personal time through event-driven architectures. It introduces Kafka Streams for event streaming and contrasts it with Apache Flink, focusing on their unique handling of time in data processing. The chapter also discusses the implications of these frameworks in future technologies, particularly in healthcare applications and user experiences across different programming languages.

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