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Combating the workflow killer: scalability of massive data sets can stop overflow in its tracks.

Whether designing a new car, pushing the boundaries of science or ensuring the safety of our cities, managing massive data sets involved in leading-edge research and design continues to challenge users' productivity and prevent breakthrough insights. Not only must users contend with an overwhelming volume of data, they are expected to complete their work in less time. As the amount of data that can be collected grows, fully understanding that data has become the bottleneck in all manner of problems and workflows.

This extreme growth data, to terabyte levels and beyond, is no surprise to industry experts who have long seen that the quest for increasing accuracy and detail ...

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