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CouchDB from 10,000 Feet
By John | March 6, 2008
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 |
