April 2017
Intermediate to advanced
532 pages
12h 39m
English
As we have seen, Spark Streaming makes it easy to work with data streams in a way that should be familiar to us from working with RDDs. Using Spark's stream processing primitives combined with the online learning capabilities of ML Library SGD-based methods, we can create real-time machine learning models that we can update on new data in the stream as it arrives.
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