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Now any analysis applied to a data set is now "Big Data." While easy to just resolve it to being how the media treats most science stories, I had hard time understanding the demarcation. I now go by DevOps Borat's definition - "any thing which crash Excel" [1]

[1] https://twitter.com/DEVOPS_BORAT/status/288698056470315008

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It's worse than that. People will run Hadoop on 20 nodes to do stuff Excel could handle easily, so they can join the "big data" fun. It's just CV-padding really, ironic given the discussion.

https://twitter.com/Lumonade/status/289171814444331008

"@DEVOPS_BORAT got heavy duty @dev ops gig available in San Mateo,ca and Seattle area! $130-$140+k doe email me Ryan.Lum@greythorn.com"

does this mean it works?

Unfortunately, employers will treat that as big data experience, and hire that way. Employees are merely reacting to what the market tells them.

I has someone contact me about a "big data" start-up recently, and did I know anyone that would be interested.

I replied saying "I may be" and what size was their "big data", as usually I don't see the point in taking it out of a traditional relational database in most cases. I don't think they like my attitude, as I never got a reply.

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