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Volume 32, Issue 3

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Wednesday, 19 October 2016 00:00

Disaster Recovery Strategies for Big Data

Written by  JIM SCOTT

Organizations are increasingly analyzing operational data in order to reveal a significant competitive advantage, increase revenue, or mitigate risk. These big data workloads are becoming essential to operations and are required to run in real-time, continuous data environments. As this “big data” becomes more mission-critical in nature, grows in volume, and operates in a continuous stream (think click stream, IoT sensors, or web/video content), traditional disaster recovery strategies are no longer applicable for enterprises. In light of this discovery, it’s vital that organizations implement a big data disaster recovery plan that can shield them from the effects of significant negative events such as crippling cyberattacks or equipment failures. What’s alarming is that most organizations aren’t backing up their big data systems, which is an extreme cause for concern. Without a solid disaster recovery plan in place, the cost to your business could prove devastating – lost data and downtime could result