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A big chunk of map reduce use cases deal with logs, which can be high value to a company. In order to deal with a lot of unstructured data you either need a cr
by kordless 16y ago
A big chunk of map reduce use cases deal with logs, which can be high value to a company. In order to deal with a lot of unstructured data you either need a crap load of rules running on it up front and somewhere to store all that meta data, or a search engine that helps you filter results quickly, and then use those results with map reduce to extract your meta data post-search.
Basically you take ing a lot of data, put it in a search engine, serialize it, build a simple map reduce framework users can code in quickly (with JavaScript say) and then run it as a service.
Sounds like a great idea! :)