Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

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.

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data runs business. We’ve been told this now immutable ...

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.

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 ...

Congratulations, you’ve set up an A/D converter or a smart sensor and the host processor is getting data from readings. That’s the first step. For some applications, getting one reading on demand ...