Data Council Week (Ep 1) - The Evolution of Stream Processing With Eric Sammer of Decodable
The Data Stack Show
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The History of Stream Processing Frameworks
The use cases have finally caught up to the technology. I don't think that people fully understood what they could get out of lower latency, you know, sort of higher throughput data on the processing side. The tooling was nowhere near as mature and as sophisticated as it is today. And I think that like gaining SQL support is actually a big accelerator for sure. All right, and one last question from so we took at the beginning of our conversation about the history behind like the streaming processing frameworks,. Now since then, and like this whole like big data movement, we seem like companies,you know, IPO in like Kafka became like confluent IPO. Okay, data breaks, let's say
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