I don’t know whether this word exists, but mainstreamification is what’s happening to data analysis right now. Projects like Pandas or scikit-learn are open source, free, and allow anyone with some Python skills do lift some serious data analysis. Projects like MLbase or Apache Mahout work to make data analysis scalable such that you can tackle those terabytes of old log data right away. Events like the Urban Data Hack, which just took place in London, show how easy it has become to do some pretty impressive stuff with data.

The general message is: Data analysis has become super easy. But has it?

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