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www.michael-noll.com | ||
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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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blog.scaledcode.com
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| | | | | By default interactive queries in Kafka streams does not support querying across nodes, let us change that. | |
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lucapette.me
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| | | | | A primer to help you write your first Kafka Streams application. | |
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debezium.io
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| | | Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. | ||
