Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.

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Abstract: Data stream processing is a functionality of various AI applications to obtain continuous insights fromdata streams. Serverless edge computing (SEC) is a key solution for implementing data ...

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 ...

Abstract: Stream processing has been in widespread use, and one of the most common application scenarios is SQL query on streams. By 2021, the global deployment of IoT endpoints reached 12.3 billion, ...

We know tennis fans are already gearing up for Wimbledon 2026. This year, we’re expecting intense matches on the prestigious grass courts of England’s most iconic tournament. However, not everyone ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Confluent, Inc., the data streaming pioneer, is introducing new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries, ...

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 ...