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.

A monthly overview of things you need to know as an architect or aspiring architect. Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale ...

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 ...

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 ...

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 ...