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by mark_l_watson
3578 days ago
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Great write up. I used Hadoop a lot for two consulting customers, and Google's map reduce as a contractor. I found map reduce to be a natural way to process data. That said, Spark is a huge leap forward. I like both the developer workflow using a repl and the machine learning library mllib is excellent. |
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It is a natural way to process certain types of data in certain ways. While there are lots of use cases like that, I have seen too many efforts to force things into Hadoop MapReduce/YARN or similar platforms just because it is the parallel processing hotness of the year.