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Outages will occur, files do get corrupted, and accidental data loss does happen As more and more enterprises are moving OpenStack projects from an evaluation phase into production, organizations are challenged by the risk of data loss and have not begun their backup & recovery readiness. An ideal cloud application uses ephemeral storage and computing, […]

With the production of global data predicted to be 44 times greater in 2020 than it was in 2009, we all need to plan for growth. According to Gartner, 80% of data in organizations today is unstructured (text, documents, transactions, audio, video, social media, etc.). Unstructured data may be complex, but it also holds unique

We can all agree that big data – or really, just data – are the crown jewels of your organization. But what are you doing to preserve, protect and defend your data? Have you developed a big data disaster recovery plan? Regardless of how you’re deploying big data – public cloud, private cloud, hybrid cloud

I’m going to state the obvious: big data is a complex animal… and it’s getting hairier by the minute. But unfortunately, too many organizations add to that complexity by managing their big data environments with APIs, scripts, and duct tape. As NoSQL data stores become a larger component of “big data,” preparing for backup and

Data deduplication is a technique that improves storage utilization by identifying unique data and storing only one instance of that data. Any occurrence of the unique data is replaced with a small reference to the correspondingly stored single instance of that data block. Storage-based data deduplication is most effective in applications where many copies of

Some of the attendees who stopped by our booth asked us whether their scale-out databases needs to be backed up, so I reflected on this conundrum for a couple of days. Yes, these databases keep multiple copies of the data so why do they need backup? I know I have a good answer, but how