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Retail transaction/loyalty, network traffic, financial, and health data.

To be clear 'big data' is poorly defined, and I mostly do not work with terabyte+ data sets, but rather with highly dimensional data in moderate volume. Data is only 'big' relative to the algorithms you try to use on it.



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