Atos has launched the self-service Hadoop software platform that accelerates the digital transformation of enterprises by making available fast and service based, Big Data software components.
The company said it designed and developed Hadoop Self-Service platform in response to the high adoption rates of the Hadoop ecosystem and of Big Data technologies in enterprises. It is a generic software platform that standardises the infrastructure requirements with respect to any field of application while making access easy.
The development of Hadoop Self-Service is the result of a strategic partnership with MAPR, the software provider of the open source platform.
With Hadoop Self-Service, a Big Data application environment can be made available very rapidly and administered by the IT department. Deployment, which can be achieved with a few clicks, will automatically make available new Big Data environments to project teams, and therefore limit the need to resort to expert skills with each new project or deployment.
The platform can be used to provision Hadoop working environments on a private cloud or a private data center or even a public cloud.
"Thanks to the combination of MapR's distribution of Hadoop, which is entirely designed to meet the requirements of enterprises, and a software base for automatic deployment developed by Atos, Hadoop Self-Service enables the implementation of a Big Data platform on all types of infrastructure without the need to take their specific characteristics into account. Clearly, the solution is independent of the infrastructure. In this regard, Atos's offer is positioned above orchestrators, virtual machine monitors or physical servers and enables developers and business stakeholders to overcome systems problems," explained Jérôme Sandrini vice president, Big Data Software and Atos Professional Services.
Updated Date: Mar 11, 2015 15:40 PM