Blog Archives

Making NoSQL Protection Operations Driven – Imanis Data Briefing Note

It seems like backup vendors forgot about protecting NoSQL environments. Environments like Cassandra, MongoDB, Hortonworks, Couchbase, and Hadoop all need point-in-time protection. One reason for the lack of data protection solutions for these environments is that there is an assumption

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The Myth of NoSQL Data Protection

There is a debate circling the topic of NoSQL data protection. A common myth is that because these environments automatically create replicas, data protection isn’t needed. Replicas protect the NoSQL environment from a hardware failure within a node or even

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Creating Flow for Successful Disaster Recovery – NAKIVO Briefing Note

Nakivo 8 – Disaster Recovery Workflow Many backup and replication software solutions claim to help organizations recover from a disaster but just as backups are more than copying data from point A to point B, disaster recovery is more than

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Why Do Point Products Break Backup

One of the most alarming trends in data protection is the number of different solutions data centers are deploying and managing so they can keep up with the organization’s recovery expectations and budget realities. The demands for rapid recovery are

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Why the Cloud Breaks Backup

For organizations that realize their backups are broken, the cloud appears to be an appealing way out of the mess. The problem is most legacy backup applications don’t have integrated cloud support, so leveraging the cloud either requires a bolt-on

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Why Backup Breaks and How to Fix it

For most organizations backup, the process of regularly and consistently protecting production data, is fundamentally broken. As a result, these organizations have very little confidence in IT’s ability to recover data at all, let alone promptly. To try to fix

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Protecting The Data-Driven Organization – Imanis Data Briefing Note

Most organizations make decisions based on data. In recent years, the amount of data that these organizations can access to help make those decisions has exploded. More data, though, won’t help unless the organization can analyze that data. It became

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