HP Makes Big Data Deployments Simpler

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Six Tips for Formulating a Business Plan for Big Data

One of the ironies of the open source Apache Hadoop framework for managing unstructured data is that setting it up can be harder than actually managing it.


At the HP Discover 2012 conference this week, Hewlett Packard moved to address that issue with the launch of HP AppSystem for Apache Hadoop, an appliance that simplifies and speeds the deployment of Hadoop. In addition, HP announced that each node in the Hadoop appliance will come embedded with the Autonomy Intelligent Data Operating Layer (IDOL) 10 engine to speed searches across that data.


According to Duncan Campbell, vice president of worldwide marketing for converged infrastructure in the HP Enterprise Group, those same appliances can optionally be configured to run the latest release of Vertica, the in-memory database for performing analytics that HP acquired last year.


By utilizing Hadoop, Vertica and Autonomy alongside its portfolio of storage products, HP is crafting a suite of products that collectively addresses the major issues that organizations have with all forms of Big Data, says Campbell.


That's become a major issue, notes Campbell, because HP research shows that 98 percent of the organizations the company surveyed admit they can't deliver the right information at the right time. That's a serious indictment of IT because, from a business perspective, that is really the whole point of investing in IT in the first place.


Fortunately, rather than treating data as a burden, more organizations are starting to treat data as an asset that needs to be maximized. But that's hard to accomplish without some underlying framework for managing that data. The good news is that the frameworks for managing all the data are rapidly proliferating. The bad news is that the business needed them yesterday.



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