In this special guest feature, Mike Maciag, COO of Altiscale outlines a formula for working to improve ROI for Hadoop deployments.
Joseph George from HP presented this talk at the recent HPC User Forum. “This paper describes the HP Big Data Reference Architecture (BDRA) solution and outlines how a modern architectural approach to Hadoop provides the basis for consolidating multiple big data projects while, at the same time, enhancing price/performance, density, and agility. HP BDRA is a modern, flexible architecture for the deployment of big data solutions; it is designed to improve access to big data, rapidly deploy big data solutions, and provide the flexibility needed to optimize the infrastructure in response to the ever-changing requirements in a Hadoop ecosystem.”
Razorsight, a provider of cloud-based predictive analytics solutions, is using the MapR Distribution including Hadoop, along with Apache Spark, to take advantage of big data storage and compute. Razorsight evolved its technology stack with Hadoop from MapR to scale cost effectively and to generate valuable insights using data science and predictive analytics for communications service providers.
Qubole, the big data-as-a-service company, announced that Station X, a leading developer of technologies that make large-scale human genome management and analysis easier, is using Presto on Qubole’s cloud-based big data platform to power GenePool™, a powerful software-as-a-service solution for real-time analytics of genomic and medical information.