Integrating Apache Kafka with Spark or Flink for stream processing involves connecting Kafka as a data source for either Spark or Flink. Kafka streams data into either platform, where it is processed in real time.
Both Spark and Flink support Kafka as a data source and can process streams of data for various analytics tasks, from real-time dashboards to complex event processing. Snowplow’s event stream processing can be integrated with Kafka and Spark/Flink for seamless real-time event handling.
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