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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data 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.

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Rethinking the 'production' of data

All Things Distributed

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 big data and artificial intelligence to find out more about the future needs of their customers.

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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

We’ve seen similar high marshalling overheads in big data 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! ;).

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Data Mining Problems in Retail

Highly Scalable

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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