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.

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

Storm is a big data framework that is similar to Hadoop but fine-tuned to handle unbounded data streams. In this installment of Open source Java projects, learn how Storm builds on the lessons and ...