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Using Windows to Aggregate Data with the Apache Flink® Table API | Apache Flink® Table API
How to Build a Complex Event Processing (CEP) Pipeline with Apache Flink and Apache Kafka!
Windowing with Table-Valued Functions | Apache Flink® SQL
Colten Explains! Part 1: Windowing in Apache Flink 101
Flink Notions of Time | Windowing | Watermarks
Working with Keyed State in Flink | Flink with Java
Efficient Window Aggregation with Stream Slicing - Jonas Traub & Philipp Grulich
How to create sliding windows in Apache Flink
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Last Updated: September 28, 2026
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Try it: cnfl.io/flink-lightboard-2025 | Tim Berglund is at the lightboard to break down Stream processing is at the heart of modern real-time systems — powering fraud detection, real-time analytics, recommendations, ... In this video, I'll show you how you can build a complex event processing pipeline that uses Join Colten Pilgreen, a Flink expert, as he guides you through the fundamentals of