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Will real-time data processing replace batch processing?
At Confluent's user conference, Kafka co-creator Jay Kreps argued that stream processing would eventually supplant traditional methods of batch processing altogether.
Absolutely: Businesses operate in real-time and are looking to move their IT systems to real-time capabilities.
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Eventually: Enterprises will adopt technology slowly, so batch processing will be around for several more years.
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No way: Stream processing is a niche, and there will always be cases where batch processing is the only option.
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AUTHOR PROFILE
William Bakst
William Bakst

William Bakst is the co-founder and CEO at SOTAI - a company on a mission to make artificial intelligence transparent and accessible for everyone. He is a distinguished graduate from Stanford with a B.S. and M.S. in Computer Science, specializing in AI. During his time at Google AI as a Research Engineer focusing on Interpretable Machine Learning, Bakst observed a common challenge. While exploring cutting-edge interpretable machine learning systems, he identified the inefficiencies of translating these advancements in 'plain English'. Bakst champions incorporating domain expertise into machine learning within product teams, aiming to bridge the gap between research and implementation.