The Apache Kafka distributed streaming platform features an architecture that – ironically, given the name – provides application messaging that is markedly clearer and less Kafkaesque when compared ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
In this section, we will examine the architectural components and related terminology in Kafka. Basically, Kafka consists of the following components: Kafka Cluster—a collection of one or more servers ...
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 ...
Streaming is hot. The demand for real-time data processing is rising, and streaming vendors are proliferating and competing. Apache Kafka is a key component in many data pipeline architectures, mostly ...
These days, massively scalable pub/sub messaging is virtually synonymous with Apache Kafka. Apache Kafka continues to be the rock-solid, open-source, go-to choice for distributed streaming ...
Since its debut, Tableflow has transformed how organizations make streaming data analytics-ready. It eliminates brittle ETL jobs and manual Lakehouse integrations that slow teams down. With Delta Lake ...
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