CASE STUDY:
This informative paper explores how one organization easily and affordably implemented these modern technologies to keep up in today's fast-paced and virtualized landscape. Read on to learn about the benefits they now enjoy.
DATA SHEET:
This resource explores the various software options available on one leading vendor's solid state storage system that can increase storage efficiency, reduce administration time, offer advanced internal virtualization capabilities and much more.
DATA SHEET:
Read this informative paper to learn how to manage storage costs, assist in legal discovery, automate the archiving of business critical data, and more, all while providing a seamless end-user experience
EGUIDE:
Access this exclusive SearchDataBackup.com E-Guide to scope recent LTFS developments and learn these advances can help storage admins meet increasing infrastructure demands.
EGUIDE:
This SearchStorage.com E-Guide will compare the pros and cons of two disk-based backup methods – disk-as-tape and disk-as-disk - and offer insight into which technique is the correct fit for your organization.
PRESENTATION TRANSCRIPT:
Check out this presentation transcript to see George Crump, founder and senior analyst at consulting firm Storage Switzerland, reveal issues around storage virtualization that your business may face when implementing this technology.
EGUIDE:
Although an installation of Hyper-V alone can be managed using the Hyper-V Manager console it can only work with one Hyper-V server at a time. Access this expert e-guide to learn how System Center Virtual Machine Manager (VMM) can solve this problem and discover a solution that enables your business to store multiple virtual machines on each disk.
PRESENTATION TRANSCRIPT:
After a few years of waning usage, tape technology is making a comeback with archiving. Find out why by checking out this transcript of Jon Toigo's presentation on tape for active archiving.
EGUIDE:
This e-guide elaborates on new features and benefits of backup and recovery and explains why they are especially critical in IT environments with large volumes of data.