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Sep 5, 2018, 12:48 pm95 pts
BetaNewsIn the beginning, workloads, tools, and requirements for big data were simple because big data wasn’t really all that big. When we hit 5TB of data, however, things got complicated. Large data sets weren’t well suited to traditional storage like NAS, and large sequential reading of terabytes of data didn’t…
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