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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! ;). From RInK to LInK.

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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. Prairie, 2003. PZ07] Content-based Recommendation Systems, M. Pazzani, D. Billsus, 2007.

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