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Using Apache Flink for Real-time Stream Processing in Data Engineering

  • Apache Flink is a powerful open-source stream processing framework that specializes in real-time data processing.
  • It offers features like event time processing, fault tolerance, and scalability, making it a go-to choice for data engineers.
  • Compared to other stream processing frameworks like Apache Spark Streaming and Kafka Streams, Flink provides a more comprehensive solution with low latency and advanced features.
  • Flink is ideal for handling large data streams efficiently, ensuring reliability in data processing, and managing time accurately in stream processing.

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