Esper is an event stream processing (ESP) and event correlation engine (CEP) unveiled this week with a 1.0 launch on Codehaus. Esper is a real time engine that triggers actions when pojo event ...

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

Storm, a top-level Apache project, is a Java framework designed to help programmers write real-time applications that run on Hadoop clusters. Designed at Twitter, Storm excels at processing high ...

Developers leveraging Java’s Stream API will benefit from JEP 485, Stream Gatherers, which introduces more flexible intermediate operations. Unlike existing Stream methods, Gatherers allow developers ...

Popular stream processing tools like Apache Flink and Samza require multiple big data services and use Java-based APIs that can be difficult to learn.

Real-time stream processing isn’t a new concept, but it’s experiencing renewed interest from organizations tasked with finding ways to quickly process large volumes of streaming data. Luckily for you, ...

Some of the most powerful stream processing use cases in Flink involve its DataStream API, which is largely based on the DataFlow model developed by Google and its Apache Beam project. DataStream is a ...