As the volume of unstructured data continues to grow, it becomes increasingly difficult to keep track of your digital assets over time. Seldom-used data can get trapped in expensive high-performance storage arrays. But IT organizations fear that moving such data to lower cost tiers such as object, tape, or cloud storage creates operational headaches, and potential disruption to user access.
There has to be a better way to ensure data is placed on the right storage at the right time, without adding complexity and overhead to IT staff AND without disrupting user access.
In this whitepaper we explore ways that data classification and metadata-driven automation can bridge data silos, to reduce storage costs and increase utilization.