When it comes to storing backup data, IT professionals have a lot of options from which to choose. Dedicated backup appliances tend to be the most popular selection. Another option is using the backup software’s built-in storage capabilities and building…
Many cloud migration and cloud first strategies fail to live up to expectations. The problem is organizations spend too much time on micro issues like product selection and not enough time on big picture items like the cloud strategy’s foundation.…
The primary motivation behind using file sync and share used to be the “sync” component. Now, however, it is sharing. In an era where devices are almost always connected to the internet, syncing is less of a priority, although ubiquitous…
Most organizations are considering how to take advantage of the tremendous resources made available by the cloud. The first step for many of these organizations is to create a cloud migration strategy. As part of this strategy, the organization decides…
Backup software used to be a conduit through which data moved from primary storage to some form of protected storage. Today though, backup software vendors are increasingly forcing customers down a pre-selected path. Vendors are now bundling their solutions with…
The case for object storage is compelling. Object stores can scale to store hundreds of petabytes of information very cost-effectively. They also support a variety of unstructured data use cases including replacing NAS for storing home directories, long-term storage of…
Most storage systems provide several layers of protection. At a minimum, there is protection from media failure, typically delivered by some form of parity based protection scheme. In enterprise systems, it is also common to have built-in redundancy in both…
The All-Flash Data Center was supposed to eliminate all storage problems and allow the application architecture to scale to new heights. The problem is data capacities are growing faster than the cost per GB of flash can decrease. Most data…
Artificial Intelligence (AI) and Machine Learning (ML) are becoming mainstream initiatives at many organizations. Data is at the heart of AI and ML. Immediate access to large data sets is pivotal to successful ML outcomes. Without data, there is no…
Most Artificial Intelligence (AI) projects start off as a skunkworks project that when ready for production is tossed over the wall for IT to handle. In many cases, IT tries to store the AI workload on an existing network attached…
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