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Yes I guess my point is when using Kafka in combination with Kafka Streams and you produce things partitioned in a way that you need them for consumption then you do not need to do any shuffling in the instance where you want to join because data is already partitioned correctly.

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You seem to know what you're talking about. Any recommendations on learning resources for this type of flow? Or really understanding which platform works for in each situation?

I'm learning proper data flow in real time as I look to transition ETL of product data into Postgres to a more applicable system.

Finding the right learning resources is difficult! Cheers.

https://dataintensive.net/

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