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SlideShare: Overcoming The 4 Data Protection Challenges of Hybrid IT

Organizations want to become data-driven. To achieve this goal they are leveraging modern applications and modern infrastructures. The combination creates a Hybrid IT environment where data and applications can be on-premises and in the cloud. While Hybrid IT does allow

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SlideShare: Overcoming the Five Distributed Data Protection Challenges

One of the biggest challenges facing IT today is how to effectively protect data distributed between offices and across clouds. Companies with remote and branch locations, and newly merged organizations are all at risk of losing their critical data or

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SlideShare: Three Reasons Why Object Storage is the Best Defense against Ransomware Attacks

Backups, by themselves, are not an effective defense against a ransomware attack. The systems that store backup data also require protection, but backup storage is as vulnerable to a ransomware attack as production data, if not more so. If both

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SlideShare: 10 Reasons Why Backup Breaks and How to Fix It

IT professionals have been struggling to develop a consistent, reliable backup strategy since the beginning of the data center. Yet the more the data center has evolved, the more difficult the task of successfully protecting data has become. Now, for

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SlideShare: 3 Steps to Controlling the Secondary Storage Deluge

Primary storage is no longer the most expensive tier of storage. Secondary storage, storage that stores copies, backups and archives, is now far more expensive than primary storage. The growth of this tier threatens to bury the data center under

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SlideShare: SDS is Broken – And How to Fix it

Software Defined Storage (SDS) was supposed to take the data center by storm, sweeping IT professionals off their feet on the way to storage management bliss. But, most SDS projects are never actually started or abandoned long before they reach

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SlideShare: Enterprise Cloud Migration – 4 Problems to Solve

The biggest challenge any enterprise has to get over when migrating workloads to the cloud is SCALE! Large organizations have massive amounts of data; thousands of virtual machines and hundreds of terabytes of data. With this level of scale, migration

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