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October 2014, Volume 2, Number 5

In mixing big data and the cloud, architectural issues loom large

Moving big data systems to the cloud can be easy in some ways and difficult in others, according to David Linthicum, a senior vice president at consulting company Cloud Technology Partners in Boston. On the plus side, he said, new systems can be deployed almost instantly, and cloud data management platforms have matured to the point where issues such as data security are well taken care of. "Deploying cloud databases is simple," Linthicum said. "You don't have to buy 20 servers and bolt them onto a rack, get the database software integrated or get the engineers in there because things just aren’t working right." Instead, you call up a cloud provider, and it does the provisioning for you. But he added that creating an architecture combining big data and the cloud can be a challenge, particularly if a company -- no matter the size -- doesn't adopt a service-based approach for dealing with data. And incorporating a data services layer into a big data architectural framework is something that many organizations eyeing the cloud ...

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