Google Compute Engine: The ultimate solution for Hadoop in the cloud?
January 13, 2014Grazed from ITProPortal. Author: Michele Nemschoff.
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The cloud and Hadoop are arguably two of the most talked about IT initiatives of the past couple of years. Both of these technologies have matured to the point where we are no longer talking about what they are, but instead talking about how to best take advantage of them. In the beginning, Apache Hadoop was just a software framework that could store massive volumes of data in a cost-effective manner. Now the uses around Hadoop are more for data analytics and processing, and how new insights and real-time computing can give businesses a significant competitive advantage.
In the world of cloud computing, businesses have started to trust cloud services more and more, as security issues have been addressed. With the maturation of both Hadoop and cloud services, enterprises have started to see value in combining the two – taking advantage of the cloud’s scalability, speed and cost-effectiveness in order to really delve deep into big data analytics…
For those looking for a way to run Hadoop in the cloud, Google Compute Engine (GCE) is a great answer. Simply put, it’s an infrastructure-as-a-service that lets businesses run their computing workloads on Linux virtual machines, hosted on the Google Cloud platform. Let’s take a look at some of the main advantages of using Hadoop in the cloud on GCE…
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