As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and real-time video analytics—the traditional batch-first data processing approach ...

Java's I/O streams provide standardized ways to read and write data. Any object representing a mutable data source in Java exposes methods for reading and writing its data as a stream.

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, ...

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 ...

Stream processing is used to power services such as real-time analytics and alerts, internet of things device tracking, user activity monitoring and online application data serving.

Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

RisingWave has raised $36 million with a streaming database that combines elements of traditional databases and stream processing.

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 ...

Learn how to fine-tune and parallelize the behavior of Java iterators, using Java 8's forEach() method and Streams API. Then see some performance benchmarks that might surprise you ...