Time Window Aggregations in Kafka Streams!

In this tutorial we learn how to do time-based aggregations using the concept of Time Windows in Kafka Streams.
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Links:
GitHub Repository for this tutorial: https://github.com/Programming-with-M...
Make sure you use the branch "windows".

Spring Boot: https://spring.io/projects/spring-boot
IntelliJ IDEA: https://www.jetbrains.com/es-es/idea/...
Docker: https://www.docker.com/get-started

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Sections:
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Video Sections:
00:00 - Intro
00:36 - What are Time Windows?
01:30 - Time Semantics
01:52 - Event Time
02:23 - Ingestion Time
02:47 - Processing Time
03:10 - Window Types
03:28 - Tumbling Windows
03:59 - Hopping Windows
04:42 - Session Windows
05:30 - Sliding Join Windows
06:09 - Our Tutorial
06:40 - Tutorial Topology
08:24 - Coding the Topology
09:59 - Coding: Adding Suppression
12:03 - Coding the Topology
15:54 - Implementing TimestampExtractor
17:45 - Running the application
22:47 - Outro