George Crump of Storage Switzerland, and Fred Oh from Hitachi Data Systems explain how to reduce time and avoid complexity of do-it-yourself analytics projects with the Hitachi Hyper Scale-Out Platform (HSP). Purpose-built by HDS for fast-growing data analytics workloads, HSP is composed of dedicated compute & storage resources, and features Brocade networking to accelerate time to value from 9-18 months down to 3 months or less.
ChalkTalk Video: Improving Time to Value for Enterprise Big Data Analytics
Tagged with: Big data, HDS, Hitachi, Hyper-converged, Infrastructure, Purpose Built, Scale-Out, Virtualization
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Posted in Video
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