WHITE PAPER:
This informative guide explains the new usage cases for tape storage in the data center. It explains the circumstances that have led to a need for new tape storage technologies and then goes on to explain the benefits of one suite of solutions.
WHITE PAPER:
With flat or declining budgets, all organizations have been asked to "do more with less," and while budgets are beginning to recover, the need for efficiency does not dissipate. Check out this ESG case study to explore test results of IBM'storage virtualizaton offerings.
EGUIDE:
Check out this tip guide for 5 best practices to better manage your virtual servers. In this guide you'll learn how to better balance your storage workload, understand the differences between storage for virtualized servers and desktops, learn how to utilize thin provisioning, improve storage utilization and more.
PRESENTATION TRANSCRIPT:
In this presentation transcript, storage expert Brien Posey explores some of the storage features and changes in Windows Server 8. Read now to learn more.
WHITE PAPER:
This white paper highlights the benefits of a software-defined storage approach that can help unify and simplify the storage environment with familiar building blocks and keep up with growing capacity demands.
WHITE PAPER:
This resource provides the results from the Enterprise Management Associates research and analyzes the pain points when it comes to implementing cloud and an innovative software that can enhance VMware environments for increased cloud ROI.
PRESENTATION TRANSCRIPT:
This presentation transcript demonstrates step-by-step how to manage Windows from the command line, and particularly how to provision storage. Read now to learn more.
WHITE PAPER:
Check out this resource to explore how combining two storage tiering technologies can help you reduce costs through self-optimized use of storage tiers, eliminate manual data classification, achieve space efficiency through thin provisioning and much more. Read on to learn more.
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?
