There are so many definitions of OOP out there, varying between different books, documentation and articles.
What really defines OOP?
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How I remember it is that it’s not even the whole dataset that is too large, but the individual records. Hadoop for example is not doing anything magic, it’s just a software package to extend MySQL to be able to efficiently have pictures (Facebook’s original use case, of course it evolved) as records.
I guess big data is what you need it to justify what you want to justify. In one of my gigs’ case, it was public funding for a project.
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That’s all of CS and IT.