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Data defined storage (also referred to as a data centric approach) is a marketing term for managing, protecting, and realizing value from data by uniting application, information and storage tiers. This is achieved through a process of unification, where users, applications and devices gain access to a repository of captured metadata that empowers organizations to access, query and manipulate the critical components of the data to transform it into information, while providing a flexible and scalable platform for storage of the underlying data. The technology abstracts the data entirely from the storage, allowing full transparent access to users.
Data defined storage focuses on metadata with an emphasis on the content, meaning and value of information over the media, type and location of data. Data centric management enables organizations to take a single, unified approach to managing data across large, distributed locations which includes the use of content and metadata indexing.The technology pillars include:
Data defined storage builds on the benefits of both object storage and software-defined storage technologies, however, object and software-defined storage can only be mapped to the first of data defined storage's three main pillars: media independent data storage, which enables a media agnostic infrastructure - utilizing any type of storage, including low cost commodity storage to scale out to petabyte-level capacities. Data defined storage unifies all data repositories and exposes globally distributed stores through the global namespace, eliminating data silos and improving storage utilization.
The data defined storage term was used for object storage with open protocol access for file system virtualization, such as CIFS, NFS, FTP as well as REST APIs and other cloud protocols such as Amazon S3, CDMI and OpenStack.
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