Whitepaper

Travelers Migrates Mission-Critical SAS Applications From Solaris to Red Hat Enterprise Linux on HP ProLiant Servers

In 2005, after observing the insurance industry’s growing awareness of and interest in Linux, Travelers began testing the viability of deploying Red Hat® Enterprise Linux® in its datacenter. It wasn’t long before senior IT management declared Red Hat Enterprise Linux as the strategic Linux-based server operating system for the organization going forward.

Big Data Implementation: Hadoop and Beyond

The big data phenomenon is far more than a set of buzzwords and new technologies that fit into a growing niche of application areas. Further, all the hype around big data goes far beyond what many think is the key issue, which is data size. While data volume is a critical issue, the related matters

12 Best Practices for Data Backup and Recovery

Hybrid solutions combine onsite software with offsite cloud services to give you data protection that offers the best of both worlds: near-instantaneous access to your (local) backup data and, in case of a sitewide disaster, ensured access to a copy of your data that’s safely stored in an offsite location. This approach is especially valuable

Seven Questions to Ask When Considering an All-in-One Data Protection Solution

Most administrators who consider an all-in-one data protection (DP) solution are looking for the fastest, most cost-effective path to securing enterprise data, as well as the simplest system to manage and support. That’s because piecing together a comprehensive solution from separate components is a complex, laborious process that requires research, testing, integration, deployment, perhaps working

Beyond Technology: Backup and Recovery Best Practices

If you’re like most IT experts, you’ll focus first on the technology. You’ll make sure you have the hardware and software to perform backups. You’ll build out the required storage, making sure you have floor space and power in a data center, and so on. Next, you’ll tier your systems: What data is most critical?