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Not all data is created equal. Each company’s data strategy needs to be laid out with consideration and thought as to what the future demands of the system might be. Although HadoopTM has its roots firmly planted in the JBOD and bare metal camps, users are increasingly trying to find ways to split up data processing based on workload requirements and on the nature of the type of query they are running.
The New York Times last Sunday published an article by David Segal, “Has Patent, Will Sue: An Alert To Corporate America,” in which the owner of IPNav is exposed as an unapologetic patent troll.
As the momentum in big data solutions reaches a heightened awareness, the demand for deep understanding of technologies like Apache HadoopTM becomes top of mind with our customers. One of the focal events for training and thought leadership around Apache Hadoop is the annual Hadoop Summit hosted by Hortonworks. As you may remember, we partnered with Hortonworks in the fourth quarter of 2012 to bring an on-demand Apache Hadoop product to the open cloud. Currently in private beta, the open cloud offering aims to provide customers with an easy platform to learn, develop and validate both the application and toolset.
In an ever-evolving competitive landscape it’s often hard to keep up the level of competencies inside your organization to meet the demands of rapidly changing technology.
The demand for Big Data solutions continues to grow, and to help you tackle Big Data workloads, we have partnered with Hortonworks, the premiere open-sourced Apache HadoopTM enterprise distribution, to provide application support and best-in-breed architecture design.
We want to take the headache out of deploying and using Big Data solutions. And today, through a strategic partnership with Hortonworks, a leader in Apache Hadoop development, implementation, support, operations and training, we will do just that.
Jonathan Ellis, System Architect for The Rackspace Cloud here. Last week I flew to California to attend the Hadoop Summit and NoSQL conference.
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