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One example of when to use Hadoop that Goldman cited is as a staging area and data integration platform for running extract, transform and load (ETL) functions.
But it isn't known for its speed in dealing with smaller data sets.
That has limited its application at Metamarkets Group Inc., a San Francisco-based provider of real-time marketing analytics services for online advertisers.
Olofson said the relational databases that power most data warehouse are used to accommodating trickles of data that come in at a steady rate over a period of time, such as transaction records from day-to-day business processes.
On the other hand, he added, Hadoop is best suited to processing vast stores of accumulated data.
Specialized development skills are needed because Hadoop uses the Map Reduce software programming framework, which limited numbers of developers are familiar with.