Tag: data streaming

Moving past the hype of chatbots to autonomous, stream-driven data agents.

AI models are only as good as the context you feed them. Learn how to use Flink SQL inside Flinkflow to build real-time feature stores, calculate rolling aggregations, and feed context-rich data into LLMs.

Flinkflow now supports Flink SQL as a first-class step type. Define schemas, write SQL queries, perform windowed aggregations, and join multiple streams — all from your YAML pipeline.

Raw security logs are useless without context. Learn how to perform sub-second temporal joins in Flinkflow to enrich firewall logs with asset and user metadata for instant threat detection.

Discover how to fuse live event streams with LLMs and AI models using Flinkflow’s Agentic Bridge. Learn how stateful memory and Async I/O power real-time AI decision engines.

Learn how Flinkflow closes the 'Flink Complexity Gap' with declarative YAML-first data streaming for Apache Flink 2.2.0.