Easy peasy, it's obviously A, B, and C. Machine learning, relevance analysis, and massive data - that's the holy trinity of big data! D is just for people who still think Excel is cutting-edge technology.
I'd go with B and C. The whole point of big data is to uncover the hidden patterns and relevance behind the data. Sampling is for small-time data analysis, not the big leagues.
I'm pretty sure it's A and C. Big data analysis is all about machine learning and handling massive amounts of data. Who needs exact samples when you've got the big picture, am I right?
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