Cornell University’s most advanced research led IT directors to a bit of their own studies on scalable and cost-efficient ways to handle growing and “painstaking” data sets.

Dozens of students and researchers at the upstate New York Ivy League school’s Institute for Biotechnology and Life Science Technologies ran unique and simultaneous DNA sequencing initiatives, some taking up one or two terabytes a piece. While not mission critical in the sense of many business data sets, the research requires high availability and analysis capabilities. On existing file management systems that capped at 8 and 16 terabytes per node, such a tast required weekly manual IT backups and retrievals, as well as limited researcher access.

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