In the previous article, we gained an understanding of the main Kafka components and how Kafka consumers work. Now, we’ll see how these contribute to the ability of Kafka to provide extreme ...

Life happens as a continuous flow of events (a stream). Ted Dunning and Ellen Friedman describe new designs for streaming data architecture that help you get real-time insights and greatly improve the ...

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Ensuring that distributed systems like Apache Kafka are resilient is crucial to withstanding disruptions, adapting to changing conditions and maintaining essential functions. Those who implement these ...

Getting the most out of any Apache Kafka event streaming deployment requires a thorough understanding of Kafka consumer groups. Here’s what you need to know. To really understand Apache Kafka—and get ...

Specifically, the connector leverages Oracle's change data capture (CDC) technology, which transmits updates, inserts and deletes from the OLTP database into special tables that can be polled without ...