Big data is hot. A global system of networked devices now generates terabytes of data each second. Affordable storage makes it possible to record seemingly arbitrary amounts of information. And machine learning algorithms, together with distributed computing, increasingly rise to the task of extracting actionable intelligence from this information. But what precisely does "big data" mean?
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