Joyent CTO: How big data platforms should work
This week on the New Tech Forum, we’re taking a look at the challenges of traditional storage and compute in the world of big data — and the growing role of object storage and integrated compute resources.
Jason Hoffman, CTO and founder of cloud service provider Joyent, details how combining object storage and parallel compute clusters can make working with big data easier and faster by eliminating bottlenecks.
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