Introduction to streaming for data scientists
As machine learning moves towards real-time, streaming technology is becoming increasingly important for data scientists. Like many people coming from a mach...
As machine learning moves towards real-time , streaming technology is becoming increasingly important for data scientists. Like many people coming from a machine learning background, I used to dread streaming. In our recent survey, almost half of the data scientists we asked said they would like to move from batch prediction to online prediction but can’t because streaming is hard, both technically and operationally. Phrases that the streaming community take for granted like “time-variant results”, “time travel”, “materialized view” certainly don’t help. Over the last year, working with a co-f
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