Most part of the big data remains unused, and a very small portion of it is discarded. Two of the prominent reasons to retain the old, but hardly used data are concerns regarding new types of analytics and possibilities of litigation. The challenge to maintain such storage is that these data are largely out of sight. IT considers data as a commodity, and since storage is cheap, most of them don’t think about getting more disk or tape when they need it. Cost of infrastructure and bandwidth must be increased to support more storage. Increasing storage is expensive, but most of the investment will be put into supporting resources like personnel, processing, and network.
To avoid complications during backup procedures and disaster recovery, storage related costs should increase. There are various methods to store cold big data like usage of dependable and inexpensive cold storage, cloud-based cold storage, an annual evaluation of cold storage data, and utilization of storage automation. Data that is often used can be stored in the primary tier of storage, and seldom-used data can be moved to inexpensive cold storage. Enterprises want to make its data readily available to users, but this becomes a burden on budget. Hence, cold storage media is a reliable, secure, and affordable solution for cost-effective data storage.