University of Maryland DOTS selects StorTrends

The University of Maryland's Department of Transportation Services (DOTS) has selected StorTrends high-performance storage arrays to be the core of its newly implemented virtual infrastructure. With StorTrends, the university's DOTS organization is able to achieve ultra-high storage performance, true storage tiering, data deduplication and archiving, with a user-friendly graphical user interface (GUI) at a very reasonable price.

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Tegile Systems accelerates transition to flash-centric data centres

Tegile Systems has announced two new entries into its line of IntelliFlash™ storage arrays that are designed for organisations looking to accelerate their businesses with flash-based storage configurations that fit their specific needs.

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Quorum backs up Leigh Day’s legal data

Law firm Leigh Day is using Quorum’s onQ appliance and Archive Vault to protect and replicate its data. The Quorum solution has allowed the London based firm to recover multiple files and continue its backup with peace of mind.

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Dell helps Big Data startup SynerScope

SynerScope expands its server-based Big Data analytics business in Europe and the USA through use of Dell OEM hardware.

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NetApp extends its collaboration to accelerate Ducati Corse’s digital transformation and deliver...
Early registration at reduced rates is now open for ISC High Performance, the largest high...
Includes enhancements to BMR, virtualisation, and copy data management plus expanded OS,...
Moonpig.com is the world’s largest online personalised greeting card retailer. Founded in...
Databarracks outlines its cloud predictions for the year ahead.
Druva has revealed the availability of Druva Phoenix via Amazon Web Services (AWS) Marketplace,...
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How Clifton College solved its data backup problems

Clifton College is one of the UK’s leading co-educational independent schools. Cristie Data provides the Bristol-based private school with a fully managed, scalable and reliable cloud backup solution that protects pupil data and can easily scale to meet future data growth.

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