In this video will look into how we can do Aggregation, Transformation and Joining using Spring Cloud Stream Kafka Streams
We will look into right from producing the message to a Kafka topic, then aggregating a Kafka stream, transforming it, and then finally joining two Kafka Streams.
You can always read about this in the article here: https://refactorfirst.com/spring-clou...
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--- Chapters --------
00:00 - Introduction
00:27 - Creating Spring Cloud Streams Kafka Project
01:22 - Kafka Stream Dependencies
01:38 - Kafka Streams Pipeline Example Overview
03:06 - Sending Message to Kafka Topic (Kafka Producer)
04:14 - Kafka Producer Properties
05:21 - Viewing Messages In The First Kafka Topic
06:10 - Kstream or Kafka Stream Transformation
06:58 - Spring Cloud Kafka Stream Properties
07:35 - Kafka Streams Serializer and Deserializer
09:14 - Viewing Kstream or Kafka Streams Transformation Output
10:02 - KStreams Or Kafka Streams Aggregation
12:41 - Spring Cloud Kafka Stream Aggregator Properties
14:06 - Viewing Kafka Stream Aggregation Output in Kafka Topic
15:47 - Kstream Or Kafka Stream Join Operation
17:30 - Spring Cloud Kafka Stream Joining Properties
18:44 - Custom Serializer Deserializer
19:40 - Viewing Kafka Stream Joining Output in Kafka Topic
21:06 - Conclusion
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