Originally developed at LinkedIn, Apache Kafka is one of the most mature platforms for event streaming. Kafka is used for high-performance data pipelines, streaming analytics, data integration, and ...

The Apache Kafka distributed data streaming engine has finally hit version 1.0, a milestone that indicates the platform is finally ready for mainstream business. “Apache Kafka is playing a bigger role ...

Data transaction streaming is managed through many platforms, with one of the most common being Apache Kafka. In our first article in this data streaming series, we delved into the definition of data ...

The ability to move, manage and process data in real time is the domain of data streaming, which is largely dominated by a series of open-source technologies. The ability to stream data is a core ...

Confluent, Inc.'s user markets for data streaming have a long runway ahead. Open source Apache Kafka is ubiquitously used for data streaming. Confluent's wheelhouse is scalable data streaming and ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

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When the open source streaming service Apache Kafka was created in 2011 at LinkedIn, it was a different world. Most companies were still on prem. The notion of cloud computing was just beginning to ...