This is interesting, as a timestamp of what’s generally possible now.

If you’ve been around the big data block, you’ve probably felt the pain of Hadoop, but we all still use it because we tell ourselves, “that’s just the way infrastructure software is.” However, in the past 10 years, infrastructure tools ranging from NoSQL databases, to distributed deployment, to cloud computing have all advanced by orders of magnitude. Why have large-scale data analytics tools lagged behind? What makes projects like Redis, Docker and CoreOS feel modern and awesome while Hadoop feels ancient?

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