Don't use Hadoop when your data isn't that big (2013)

Re:Don't use Hadoop when your data isn't that big (2013) by vonmoltke on Tuesday May 23, 2017 @08:41PM (#14406725)

How then does "big data" differ from traditional HPC and mainframe processing? Those fields have been dealing with distributed processing and data storage measured in racks for decades.

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Re:Don't use Hadoop when your data isn't that big (2013) by acdha on Wednesday May 24, 2017 @07:48AM (#14409264)

I think the simplest answer is that it's often essentially the same thing but approached from a different direction by different people with different marketing terms.

One area which might be a more interesting difference to talk about might be flexibility/stability. A lot of the classic big iron work involved doing the same thing on a large scale for long periods of time whereas it seems like the modern big data crowd might be doing more ad hoc analysis, but I'm not sure that's really enough different to warrant a new term.

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Re:Don't use Hadoop when your data isn't that big (2013) by marcosdumay on Tuesday May 23, 2017 @08:47PM (#14406758)

I dunno. Is it useful to separate them?

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