• Data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though sometimes used loosely, partly due to a lack of formal definition, one interpretation is that big data is a large body of information that cannot be comprehended when used in small amounts only. ← Wikipedia

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