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April 2015, Volume 4, Issue 4

Big data workloads live on-premises

Seven years after its birth, the frenzy around cloud is beginning to subside. IT organizations have embraced public cloud for some workloads, and built private clouds for others.

IT is having productive discussions about which applications to leave where they are, and which applications to re-platform. They're considering the pros and cons of renting shared infrastructure rather than buying dedicated on-premises resources.

You may not get the raw performance from a virtualized cloud instance that you could from dedicated bare-metal hardware -- you need to weigh that against the cost of hiring data center operations staff.

Meanwhile, the hype around big data and social media has just begun. The technology for doing this kind of analytics exists today. You can build a Hadoop-based repository to store the untold amounts of raw data that can later be used to discover unimagined relationships and patterns. It all sounds very promising, but for now, the jury's still out about the value of these initiatives.

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