Remove 2003 Remove Architecture Remove Big Data Remove Programming
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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. Information Architecture. High Performance Browser Networking. The Art of SEO.

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

The Morning Paper

After all, we’ve been doing that forever with the 2nd-level cache of ORMs , and it is highly encouraged in e.g. the AWS Lambda programming model — which was born on the cloud— to help mitigate function start-up times. We’ve seen similar high marshalling overheads in big data systems too.) What is that something?

Cache 79
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Data Mining Problems in Retail

Highly Scalable

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns. Prairie, 2003.

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