Reactive Data Processing
Adrian explains the concept of reactivity in data processing, emphasizing its efficiency in handling changing data without full recomputation. He draws parallels to familiar tools like spreadsheets and highlights how front-end development has evolved to minimize manual event handling. Despite advancements, he notes that back-end data processing still often requires cumbersome event-driven approaches.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
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