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Essential elements of copy data management
This article is part of the Storage issue of April 2017, Vol. 16, No. 2
Despite all the hype around concepts such as the internet of things and big data analytics, the practical application of such ideas has yet to truly materialize. I know, this seems to throw shade on all those top-secret algorithms developed by Facebook or Twitter or Amazon and others that collect information on consumer behavior, locational data, catalog browsing records and so on. Leveraging that information allows the vendor to perform interesting marketing tasks, such as upsell. I get that. But to my way of thinking, the success of these applications -- measured in terms of greater brand recognition and improved sales -- isn't that important in the long term. I want more. What I want (and we'll get to this later) is copy data management. The late Ziya Aral, former chairman and chief scientist for DataCore Software who passed away earlier this year, certainly sought to make his company prosperous with the technology he built. But he also wanted to accomplish something more meaningful, something he called computer science. A ...
Features in this issue
Cloud is popular among data storage priorities for primary and backup storage, while most say they will use flash in primary data storage.
As unstructured data continues to lead storage growth, businesses are opting for scale-out NAS arrays to handle current and future capacity.
Storage smartens up to keep pace with data-intensive business applications embedding operational analytics capabilities.
Columns in this issue
Once considered a necessary evil, secondary storage systems are now providing much more than just backup protection.
The next chapter written in the book of computer science should be all about management of copy data, the core function of IT.
Scale-out software-defined storage is on the rise to the detriment and decline of traditional storage products and arrays.