https://medium.com/walmartglobaltech/what-makes-apache-flink-scale-317f642fe6d5

https://www.waitingforcode.com/apache-flink/apache-flink-best-practices-flink-forward-lessons-learned/read


https://beam.apache.org/

https://blog.gopheracademy.com/advent-2018/apache-beam/

https://medium.com/google-cloud/how-to-build-dataflow-pipelines-with-beam-golang-sdk-d2e45b6ece50


The main differences between Apache Spark and Apache Flink are in their architecture, programming model, and use cases. Spark uses a batch processing model, while Flink uses a data streaming model. Spark is optimized for batch processing, while Flink is optimized for real-time processing.


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