Windowing and Watermarks in Flink | Flink with Java

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When working with infinite streams of data, some operations require us to split the stream into more manageable chunks. This is done using time windows and it allows us to perform aggregations that would otherwise be impossible. When working with windows, Flink uses something known as a watermark to track time throughout the stream. In this video, you will learn the basic types of windows that can be applied to a stream, as well as how to enable watermarks.

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