Kafka wasn’t the first open source project I was involved in at LinkedIn. We’d also built a key-value store, a workflow system, and a number of other things. The biggest difference with Kafka was that ...

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 ...

Analytics is often described as one of the biggest challenges associated with big data, but even before that step can happen, data has to be ingested and made available to enterprise users. That’s ...

Having been thrust into the spotlight by IBM last week, Apache Kafka is getting so much attention that it’s threatening to surpass Apache Spark as Big Data’s tech du jour and become a permanent ...

As more and more organizations have come to rely on streaming data to provide real-time insights, a number of applications have sprung up to handle the myriad technical challenges that streaming data ...

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 ...

Event-driven architectures are wonderful. But Kafka was never intended to be a database, and using it as a database won’t solve your problem. It’s a tale as old as time. An enterprise is struggling ...

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