Batch vs. Streaming
The preference for batch or streaming data processing often reflects one's background, whether in static databases or microservices. While streaming offers the advantage of lower latency and real-time updates, it presents challenges, particularly with complex operations like database joins. As technology evolves, frameworks are increasingly addressing these complexities, making real-time processing more feasible.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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