InfoQ - Streaming - Presentations https://www.infoq.com InfoQ Streaming Presentations feed Presentation: Stream and Batch Processing Convergence in Apache Flink https://www.infoq.com/presentations/stream-finch/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Streaming-presentations <img src="https://res.infoq.com/presentations/stream-finch/en/mediumimage/jiangjie-becket-qin-medium-1752751835478.jpg"/><p>Jiangjie Qin explains the motivation and use cases for stream and batch unification in Apache Flink. He details how Flink unifies computing models via shared streaming semantics and adapts execution models for efficiency. He shares insights on Flink's handling of event time, watermarks, state in batch processing, and outlines future work for a more seamless & performant data processing experience.</p> <i>By Jiangjie Qin</i> Batch Processing Streaming Transcripts QCon San Francisco 2024 AI, ML & Data Engineering presentation Tue, 29 Jul 2025 13:20:00 GMT https://www.infoq.com/presentations/stream-finch/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Streaming-presentations Jiangjie Qin 2025-07-29T13:20:00Z /presentations/stream-finch/en