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Storage implications

While this is just a sampling of the data ESG has gathered on processing and analytics big data trends, I called out these points specifically because they

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have a ripple effect when it comes to data storage infrastructures. The size of the data sets is big, and growing, especially when you start counting the copies of data sets required for additional analysis and data protection. So, IT will be looking for scalable storage systems that can efficiently meet demands without requiring an army to manage them. At the same time, big data analytics -- and information delivered in near real-time -- is becoming a bigger priority for business sponsors, and IT is paying attention to the underlying infrastructures.

Indeed, ESG research indicates that a large number of IT infrastructure decision makers with knowledge of their data processing and analytics requirements will pay a premium for a storage system with high availability. Even though research indicates that there’s price sensitivity for these environments, more users are willing to pay a premium for high availability than for tiered storage, solid-state or efficiency technologies like data reduction and thin provisioning.

Looking at storage in a vacuum is never a good idea. In today’s new world of big data, it’s important to understand the forward-looking trends that shape tomorrow’s infrastructure requirements, lest the infrastructure become obsolete before its time.

BIO: Terri McClure is a senior storage analyst at Enterprise Strategy Group, Milford, Mass.

This was first published in July 2012

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