The last 24 months has seen the introduction of Map/Reduce functionality into the data processing arena in various forms. Map/Reduce is a framework for developing scalable data processing functionality, and was popularized by Google (see this earlier post).
Pure players like Hadoop are starting to find their own niche, helped by organizations such as Cloudera. However there has been a number of for & against arguments relating to Map/Reduce functionality inside the database.
These arguments are now really serving a moot point. Customers have recognized value in Map/Reduce prompting some (b)leading edge database vendors to introduce such …
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