Big-data processing helps to make the best use of dynamic storage resources by taking in all the relevant storage activities data, analyzing it and then making the best choices for dynamic hybrid storage optimization.
If, as the adage goes, you should fight fire with fire then perhaps its equally justified to fight big data optimization requirements with — big data.
It turns out that high-performing, cost-effective big-data processing helps to make the best use of dynamic storage resources by taking in all the relevant storage activities data, analyzing it and then making the best real-time choices for dynamic hybrid storage optimization.
In other words, big data can be exploited to better manage complex data and storage. The concept, while tricky at first, is powerful and, I believe, a harbinger of what we’re going to see more of, which is to bring high intelligence to bear on many more services, products and machines.