WHITE PAPER:
This solution brief talks about an innovative new approach to Hadoop analytics that is the industry's first and only scale-out NAS solution with native Hadoop support for greater integration capabilities.
DATA SHEET:
Check out this informative paper to explore a unified, all-flash storage solution built for virtual environments. Read on to discover the benefits the technology provides, including improved virtualization performance, a simplified storage environment, reduced operational costs and much more.
EBOOK:
This Buyer's Checklist on Purpose-Built Storage for Virtual Servers describes how these storage systems differ from traditional arrays, provides insights into some of their unique features and offers guidance on evaluating, purchasing and deploying these storage systems.
EZINE:
In the October 2013 issue of Storage magazine, our experts explore how to build a better backup with the help of new modern apps, highlight 10 storage tips for virtual desktops and much more!
EZINE:
In this issue of Storage magazine, discover how to effectively inject new life into DAS and revive legacy storage architectures with server-side solid-state. Read on to access an article exploring state of the art of tape, and discover why it still has a solid place in enterprises as an archive tier.
WHITE PAPER:
This informative white paper gives the current trends and topics in the field of data storage and gives survey results from 158 customers highlighting which new technologies they're adopting.
WHITE PAPER:
Check out this in-depth guide to find out the various features and benefits of each storage system IBM offers – so you can decide which storage solution will fit best into your business environment.
EGUIDE:
In this e-guide, discover expert tips on how to determine if a SAN system is right for your enterprise's storage environment with comparisons to NAS and DAS systems. You will also learn how to sift through the SAN array market so that you can choose the right solution for your enterprise.
WHITE PAPER:
Many enterprises rely on Hadoop to manage and analyze large volumes of data, and as such, they are looking to deploy the right architecture to optimize compute and storage requirements. The traditional approach is running Hadoop on DAS -- but is there a better way?
