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Data Defined Storage

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Data defined storage

Data defined storage (also referred to as a data centric approach) is a marketing term for managing,
protecting, and realizing value from data by combining application, information and storage tiers.[1]

This is achieved through a process where users, applications, and devices gain access to a repository of
captured metadata that allows them to access, query and manipulate the relevant 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 fully transparent access to users.

Core technology
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:

1. Media Independent Data Storage: Data defined storage removes media centric data storage
boundaries within and across solid-state drive, hard disk drive, cloud storage and tape
storage platforms, enables linear scale out functionality through a grid based Map Reduce
architecture that leverages enterprise object storage technology and provides transparent
data access across globally distributed repositories for high volume storage performance.
2. Data Security & Identity Management: Data defined storage allows organizations to gain
end-to-end identity management down to the individual user and device level to address
growing enterprise mobility requirements and enhanced data security and information
governance.
3. Distributed metadata repository: Data defined storage enables organizations to virtualize
aggregate file systems into a single global namespace. At ingestion; file, full text index and
custom metadata is collected and stored in a distributed metadata repository. This repository
is leveraged to enable speed and accuracy of search and discovery, and to extract value
leading to informed business decisions and analytics.

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 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.

Usage
The first marketing using this term was by Tarmin, in its GridBank product. The data defined storage term
might have been mentioned in 2013.[2] Tamrin issued press releases about customers.[3][4]
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.

See also
Big data analytics – Information assets characterized by high volume, velocity, and variety
Block storage – Sequence of bits or bytes of a maximum predetermined size
Cloud storage – Model of computer data storage
Content-addressable storage – data storage mechanism
Enterprise search – Software for finding documents
Information governance – overall strategy for information at an organization which balances
the risk that information presents with the value that it provides
Metadata management – Managing metadata about content data in digital media
Object storage – Computer data storage architecture that manages data as objects
Scale out storage – Ability of a system to handle an increasing amount of work
Software defined storage – Type of computer data storage

References
1. Peters, Mark. "Unlocking the Power of Data with Data-Defined Storage" (https://web.archive.
org/web/20141129113204/http://www.esg-global.com/default/cache/File/2D9FD2A8-B6D3-
4D17-A23527EF427F6C96.pdf) (PDF). ESG. Archived from the original (http://www.esg-glo
bal.com/default/cache/File/2D9FD2A8-B6D3-4D17-A23527EF427F6C96.pdf) (PDF) on
2014-11-29. Retrieved 30 June 2013.
2. Goyal, Ambuj. "Edge2013 General Session Keynote Speech" (https://www.youtube.com/wat
ch?v=JfHTDnspaaQ&feature=c4-overview-vl&list=PLUbRx39vvOvj0meMsZiU6DWYEDmi0
iali). IBM Edge.
3. Miller, Dan (12 July 2013). "Tarmin and IBM help Premier Oil manage rapidly growing
unstructured data" (http://www.prnewswire.com/news-releases/tarmin-and-ibm-help-premier-
oil-manage-rapidly-growing-unstructured-data-reduce-storage-cost-simplify-compliance-and
-increase-business-agility-215185111.html). PR Newswire.
4. Miller, Dan (17 December 2012). "Leading U.K. MSP brightsolid sees a shining future with
Tarmin" (http://www.prnewswire.com/news-releases/leading-uk-msp-brightsolid-sees-a-shini
ng-future-with-tarmin-183736071.html). PR Newswire.

External links
New Storage Platforms: What's the Difference? (http://www.networkcomputing.com/storage/
new-storage-platforms-whats-the-difference/a/d-id/1279118?)
Top Tips for Object Storage (https://www.infostor.com/storage-management/top-tips-for-objec
t-storage.html)
Object Storage Buying Guide (http://www.enterprisestorageforum.com/storage-technology/o
bject-storage-buying-guide-1.html)
A Data-Centric Approach to Managing Data in the Cloud (http://cloudcomputing.sys-con.co
m/node/3210581)
Stop Buying Storage. Start Managing Information (https://www.forbes.com/sites/danwoods/2
014/03/19/stop-buying-storage-start-managing-information/)
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