Hadoop is maturing rapidly in the enterprise, with a new survey sponsored by AtScale Inc. revealing almost half of all organizations which have deployed between 10 and 500 plus nodes are realizing “tangible value” from their deployments.
But getting Hadoop up and running isn’t easy, as Gartner Inc.’s 2015 Hadoop Adoption Study noted. One of the difficulties in implementing Hadoop is the scarcity of suitably qualified talent that knows how to work with the platform. Now, a company called Arcadia Data Inc., which emerged from stealth last June, is hoping to solve Hadoop’s manpower problem. It’s just rolled out Arcadia Enterprise, a visual analytics and business intelligence platform that runs natively in Hadoop.
Arcadia Enterprise is a solution that aims to collapse the legacy enterprise data management stack, delivering a simplified platform for business intelligence and data visualization. The platform runs on a “self-learning architecture” that’s native to Hadoop, and is able to auto scale thousands of queries simultaneously.
Designed with ease of use in mind, the platform offers a visual interface that lets uses explorer and perform semantic modeling on their Big Data. It also features ‘drag-and-drop’ access to behavior-based segmentation, granular path analysis, flow and funnel algorithms, and dimension/measure corrections via on-cluster execution.
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