Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

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This guest post comes from Neha Narkhede, co-founder and CTO at Confluent, a startup focused on Apache Kafka and founded by its creators. Data systems in the modern world aren't islands that stand on ...

Complex Event Processing (CEP) and Data Stream Management represent pivotal fields at the intersection of computer science and information systems, enabling the real‐time detection, analysis, and ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Once your C-suite acknowledges the value of events-driven processing, the next logical step is to transition your organization to programming that supports the strategy. The most promising emerging ...

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 ...