Are you struggling to come to terms with Flink SQL WINDOW functions for processing your stream ? Are you new to Flink SQL ? If answers to both these questions are ‘Yes’, then, join my session on getting introduced to WINDOW functions on a data stream, with live examples. No presentations please ! ! Followed by live coding of Flink SQL WINDOW operations on real world streaming data and get your hands dirty ! ! We will start by understanding the syntax of a WINDOW function in general and then dive deeper into Flink Table Valued Functions (TVF) with Flink 1.20. Then we’ll understand how TUMBLE, HOP WINDOW functions operate using live SQL examples. Next, we will build an end-to-end demo with data streams generated by Kafka and apply Flink SQL WINDOW operations on the data stream to transform and aggregate data. You come out of my session with an enhanced knowledge about data stream WINDOW functions using Flink SQL and will be able to run the example to align it closer to your use case. !