Archiving and big data analytics: where to put all the data – Randy Kerns blog on Storage Soup

By Randy Kerns, Thursday, February 28th 2013

Analyst Blogs

There are many opinions regarding how to handle information storage for big data analytics. By big data analytics,  I’m referring to information associated with a data analytics operation that does the analysis in near real-time to present immediately actionable results. The most common approach to this type of analysis is to provide data that is the source for the real-time analytics process to the compute nodes with minimal latency and at a high data rate.

This requirement has led many data scientists designing analytics systems to require –Click Here to read the rest of Randy’s Storage Soup blog.

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