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By piccoloprincipe
via research.microsoft.com
Submitted: May 19 2013 / 09:27

In the last decade we have seen a huge deployment of cheap clusters to run data analytics workloads. The conventional wisdom in industry and academia is that scaling out using a cluster is better for these workloads than scaling up by adding more resources to a single server. Popular analytics infrastructures such as Hadoop are aimed at such a cluster scale-out environment, and in today's world nobody gets fired for adopting a cluster solution.
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