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admin | Matrix Exercise Equipment | 03.03.2015
Before 'Hadoop' was in the scene, the machine generated data was mostly ignored and not captured.
Click stream data : when users navigate a website, the clicks are logged for further analysis (like navigation patterns). Just the size of big data, makes it impossible (or at least cost prohibitive) to store in traditional storage like databases or conventional filers.

The traditional data processing model has data stored in a 'storage cluster', which is copied over to a 'compute cluster' for processing, and the results are written back to the storage cluster. This model however doesn't quite work for Big Data because copying so much data out to a compute cluster might be too time consuming or impossible. One solution is to process Big Data 'in place' -- as in a storage cluster doubling as a compute cluster.

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