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.

Previously, we introduced streaming, saw some of the benefits it can bring and discussed some of the architectural options and vendors / engines that can support streaming-oriented solutions. We now ...

Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications By Fabian Hueske and Stephan Ewen, committers and PMC ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

Smart devices that communicate with other smart devices, known as Internet of Things (IoT) applications, have revolutionized the modern way of life. From self-driving cars to interactive gaming, IoT ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

MongoDB announced that Atlas Stream Processing is now in public preview, allowing developers the flexibility and ease of use of the document model alongside the Query API. With Atlas Stream Processing ...

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength ...

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