Hadoop Cloud

Before embarking on a new technical effort, it’s important to understand what problems you’re trying to solve with it. Hot new technologies come and go in the span of a few years, and it should take more than popularity to make one worth trying. The short span of computing history is littered with ideas and technologies that were once considered the future of their domains, but just didn’t work out.

Apache Hadoop is a technology that has survived its initial rush of popularity by proving itself as an effective and powerful framework for tackling big data applications. It broke from many of its predecessors in the “computing at scale” space by being designed to run in a distributed fashion across large amounts of commodity hardware instead of a few, expensive computers. Many organizations have come to rely on Hadoop for dealing with the ever-increasing quantities of data that they gather. Today, it is clear what problems Hadoop can solve.

Cloud computing, on the other hand, is still a newcomer as of this writing. The term itself, “cloud,” currently has a somewhat mystical connotation, often meaning different things to different people. What is the cloud made of? Where is it? What does it do? Most importantly, why would you use it?

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