Time Window Aggregations in Kafka Streams!

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In this tutorial we learn how to do time-based aggregations using the concept of Time Windows in Kafka Streams.
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Make sure you use the branch "windows".

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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
  1. Programming with Mati
  2. kafka
  3. kafka streams
  4. java
  5. programming
  6. functional
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Комментарии
Автор

it is very helpful to understand the Kafka streaming concepts. Thanks

Alan-ovdu
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Thank you so much for Nice explanation. its helpful to understand the windows clearly.

rameshrayapati
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Thank you so much very useful and informative video, continue your job thank you🙏 so much really useful please continue like these

dhineshdhinesh
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Really awesome explanation ❤️❤️. Could please make a new series on Apache Kafka confluent cloud based tutorial.. not local installation based

RaviYadav-cxpb
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it is very helpful to understand the Kafka streaming concepts. Can you please differentiate when to use GroupBy and GroupByKey in your next video?

KrishnaMohanjce
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Hi.Thank u for very clear explanation.Can you do one video on kafka store and forward feature as well.

pavanim
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Hi Mati, Time Window code is not in any repo.

equalsTo
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Hi do you want to quickly grow your channel

kaifansari