University of Cambridge Institute cuts backup time by 99 percent

The University of Cambridge Institute for Sustainability’s (CISL’s) data backup is nine times faster with Arcserve’s Unified Data Protection software – with backup times reduced from 18 to just two hours. The Institute’s virtual servers are also now continuously available and a multi-layered recovery approach means crucial data is always on hand.

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The avalanche of data and exploding costs in the data centre

How data virtualisation influences the overall performance of a data centre By Ash Ashutosh, CEO, Actifio.

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Lenovo opens Enterprise Briefing Center

Lenovo has opened its North American Enterprise Briefing Center, a newly designed space that offers customers comprehensive access to the company’s entire portfolio of enterprise products, innovations and services.

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Unitrends supports Google Cloud Storage Nearline Beta

Business continuity leader expands support for Google Cloud Storage Standard and DRA offerings to include Nearline for lowest cost long-term data retention.

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Cloudreach expands portfolio with Zadara storage

Addressing the growing demand for scalable, flexible, pay-as-you-go enterprise storage.

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Greg Bailey joins the Zerto team to drive continued success across the EMEA region with its valued...
Technological partnership to bring a new sovereign and ultra-competitive offer to the market.
HP Energy Management Pack targeted at utility vertical leverages Platform to connect, analyze and...
Helping customers plan for software failure, data loss and downtime.
Future Mobility Campus Ireland (FMCI) collaboration will allow real-world testing of self-driving...
Datto has announced the global availability of Datto RMM 6.5, which helps MSPs provide reliable...
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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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