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.

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...