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CouchDB from 10,000 Feet

By John | March 6, 2008

CouchDB from 10,000 Feet

CouchDB views allow you to filter, collate, and aggregate data. Views are powered by Map/Reduce. The map stage processes key/value pairs to produce intermediate values and reduce then combines intermediate values for particular key. Map/Reduce is inherently parallelizable making it useful on clusters of machines.

Interesting Note:

Damien Katz, the CouchDB creator was hired to work for IBM full time to work on CouchDB.  The cloud DB wars have begun.

Topics: couchdb, hadoop, mapreduce | No Comments »

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