Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

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Overview This repository provides XML code examples that use SAS Event Stream Processing to process real-time streaming data. Project code is written to run in SAS Event Stream Processing Studio. Use ...

Abstract: Stream processing jobs often require elastic scaling in response to dynamically changing loads. In recent years, the development of serverless technology has provided new potential for ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

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A collection of examples and tips for getting started with stream processing using Apache Kafka & Apache Flink. This will be useful for those getting setup locally in no time and seeking an ...