Virtualisation 'essential' for big data deployments
Big data benefits may not be realised without proper infrastructure, warns Condo Protego
Data virtualisation is essential if organisations want to keep up with big data trends in the Middle East, Savitha Bhaskar, general manager at Condo Protego, said last week.
According to IDC's top ICT predictions for the Middle East in 2014, big data deployments here are expected to progress from a pilot to production phase this year. This comes as businesses attempt to use big data technologies to better understand their markets, tracking trends and develop better sales strategies.
While Bhaskar acknowledged that business in the region are making impressive strides in their big data deployments, she warned that they may not fully benefit if they do not have the necessary IT infrastructure in place.
"If an enterprise does not develop its IT model to cope with its growing data capacity, it may suddenly find that, rather than progressing the business, all this information is becoming a burden and an additional cost," she said.
"Truly reaping the benefits of data collection depends on the approach organisations use to store, manage, and analyse all the valuable information they collect."
Bhaskar put forward the idea of data virtualisation as one of the most useful and cost-effective approaches to storing and managing large amounts of data. The method involves separating the hardware - the physical server on which the data is stored - from the application that is using it. An example of this would be in the use of a public or private cloud.
"Virtualisation allows a business to outsource all its information to another location, which can then be accessed virtually from any front-end device," Bhaskar explained.
"There are a number of clear benefits to this, including consolidation, the ability to store, access, and move data from multiple applications homogenously; remote access, since all the information is stored in a central location; and resource allocation, giving enterprises the flexibility to shift data according to business needs.
"All of these factors ultimately lead to reduced costs, significant time savings, and an overall better use of resources so that businesses spend less time on day-to-day tasks and more time strategising and focusing on meeting their business goals."