Boston, MA 10/16/2014 (wallstreetpr) – According to reports, Rackspace Hosting, Inc. (NYSE:RAX) announced the release of OnMetal Cloud Big Data Platform. The main objective behind its release is to enable customers to deploy bare-metal instances of Apache Hadoop with Spark within three clicks. With the help of this new solution of RAX, the speed of Hadoop and Spark gets increased amazingly.
Insights of the matter:
The latest solution of Rackspace Hosting, Inc. (NYSE:RAX) comes with an advanced, elastic and efficient platform, which is capable of delivering second to none break-through speed for Spark and Hadoop. Through this top notched speed, all the data scientists can easily gather insights of any issue within minutes. Earlier they used to take time of hours or days for collecting insight information.
Management team of Rackspace Hosting, Inc. (NYSE:RAX) is extremely delighted to deliver this next generation solution. According to John Engates, Chief Technology Officer, Rackspace, Collecting information from big data platforms have always been a toilsome task for data scientists. The newly launched solution will prove to be a groundbreaking solution in the field of big data. For the very first time, both Spark and Hadoop can enjoy the best of both the platforms through bare metal performance with cloud agility.
It’s a newly launched platform, and organization may find it little difficult initially; therefore, Rackspace Hosting, Inc. (NYSE:RAX) will be offering a credit of $250 towards the initial two months of services. Big Data Community will get second to none hands-on experience on this new platform over time, which will enable it solving out problems effectively.
OnMetal Cloud Big Data Platform is the next-generation turn-key service, which integrates complex software and hardware infrastructure and eliminates the need to configuration. With the help of it, senior business leaders can implement their agendas without any problem in least possible time through putting minimum of efforts. With the help of this platform, developers will be able to interact with data in real time via Python Shells or Scala.
