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Take, for example, The Web Almanac , the golden collection of BigData combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. ” – Andy King, 2003. It starts ticking each time someone opens one of your pages.
We’ve seen similar high marshalling overheads in bigdata systems too.) Fetching too much data in a single query (i.e., If you decompose data across multiple keys to avoid this, you then typically run into cross-key atomicity issues. getting the whole value when you supply the key). Who knew! ;).
How companies can use ideas from mass production to create business with data. That was the provocative thesis of a much-talked-about article from 2003 in the Harvard Business Review by the US publicist Nicolas Carr. Marketers use bigdata and artificial intelligence to find out more about the future needs of their customers.
Prairie, 2003. [PZ07] Content-based Recommendation Systems, M. Pazzani, D. Billsus, 2007. RE03] A SAS Market Basket Analysis Macro: The “Poor Man’s Recommendation Engine”, M. RE94] Grouplens: an open architecture for collaborative filtering of netnews, P. Resnick, N. Iacovou, M. Bergstrom, and J. Riedl, 1994.
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