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Expanding on the core migration and data protection offerings, Datadobi has introduced StorageMAP, bringing full unstructured data management capabilities to enterprises with large and growing data estates. But what is “unstructured data management”? In a nutshell, it is combining the ability to have a full view of all the file and/or object data in your organization combined with tagging and the ability to take action on any dataset of interest.

Back in the spring of 2020, Dell Technologies changed the face of enterprise storage with the introduction of Dell® PowerStore®.  PowerStore’s revolutionary software-driven architecture has since helped customers around the world adapt to any future, transforming both traditional and modern workloads with new flexibility, efficiency, and performance. 

Unstructured data environments can be riddled with chaos. Masses of redundant, obsolete, or trivial (ROT) data idling on a network, the sheer volume of unstructured data, and heterogeneous storage structures all contribute to headaches for IT leaders.

Complicating matters even more is that every storage environment has a unique set of unstructured data standards. In our multi-vendor world, relying on native unstructured data management features from each storage vendor or cloud provider won’t cut it anymore.

By now it is common knowledge that unstructured data is growing out of control. So the question everyone is asking is, how do you truly manage unstructured data in the multi-vendor, multi-cloud environments that are becoming the norm?

There is no shortage of companies, from one end of the storage industry to the other, claiming to clean up the toxic landfill that has become unstructured data. But how, as an overworked under-budgeted IT professional, do you quickly understand the benefits of each approach?

As almost anyone with IT experience knows, managing an unstructured data environment can be challenging in so many ways. There are numerous factors that must be considered, including but not limited to: the number of storage devices, size of your dataset, number of files in your dataset, and maybe the worst of all – the uniqueness of your environment. This is because one-size-fits-all solutions are oftentimes not a great fit, and instead, an ad hoc management style is adopted leading to a potential future hurdle referred to as “tribal knowledge.”