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jack-vanlightly.com | ||
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www.decodable.co
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| | | | | Apache Flink and Spark Structured Streaming are two leading real-time processing frameworks. In this blog post, we will talk about why we picked Flink to be the foundation of our platform from 3 different perspectives. | |
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www.madewithtea.com
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| | | | | This article is about aggregates in stateful stream processing in general. I write about the differences between Apache Spark and Apache Kafka Streams along concrete code examples. Further, I list the requirements which we might like to see covered by a stream processing framework. | |
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quix.io
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| | | | | Dive deep into the performance and limitations of Python client libraries to choose the best stream processing solution for your data. | |
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www.onehouse.ai
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| | | Learn how Apache Flink?, Apache Kafka? Streams, and Apache Spark? Structured Streaming stack up against each other in terms of engine design, development experience, and more. | ||
