Traditional workloads or second platform workloads for organizations go into File Shares on NAS, HPC on SAN, or Backup/Archive workloads to tape. They typically work with SMB, NFS, or FTP protocols. Emerging workloads like Hadoop referred as third platform pushes … Continue reading
Big Data creates petabytes of data that organizations can readily mine to discover patterns and trends. Although Hadoop provides a comparatively inexpensive way to manage massive amounts of data, it is difficult to manage as the Hadoop cluster grows big. … Continue reading
Rackspace recently introduced its new Big Data hosting options – customize your configuration for managing big data platform, run Hadoop on the public cloud, or configure your own private cloud. Rackspace eliminates the complex process of building and maintaining a … Continue reading
HDFS, the “storage” and MapReduce, the “compute” are combined in traditional Hadoop model. If this Hadoop model is directly translated into a VM, it will affect the ability to scale up and down as the lifecycle of VM is tightly … Continue reading
