Mid East must prepare for big data with open hybrid cloud

Adopt managed services solutions that avoid vendor lock-in, says Red Hat

Tags: Big dataRed Hat Incorporation
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Mid East must prepare for big data with open hybrid cloud Gerald Sternagl, EMEA business unit manager, Storage, Red Hat.
By  Gerald Sternagl Published  November 5, 2013

Big data is an IT issue that has risen out of the basement of IT system support and into boardroom consciousness. The C-suite is starting to ask about big data, but without fully understanding its value.

Despite the uncertainty, many businesses in the Middle East are looking at how they can benefit from big data, and organisations that generate and collect lots of information with the aim of deriving value from it are starting to invest in systems that enable the large-scale storage and analysis of data.

Research carried out in March 2013 by IT analyst firm IDC forecasts immense growth in the area, with the market expected to reach $16.9bn in 2015, up from $3.2bn in 2010. The growth will come from businesses seeking to gain a competitive edge by leveraging the intelligence generated by analytics and from businesses that are complying with regulations on data storage. Whatever the motives for embracing big data, it is important to bear in mind that IT thinking has to extend beyond simply buying more and more storage. The big data playing field is already crowded and companies will need to carefully assess the myriad options on the market before making an investment.

Storage that scales

Big data requires big storage, and a major portion of investments will occur in storage infrastructure in order to deliver a platform from which meaningful information can be derived in an insightful manner. As more companies wish to create business value out of their vast amounts of stored information, whether derived from sales figures or social media data, the need for big data storage solutions will grow, as traditional on-site storage solutions such as NAS or SAN fail to scale or deliver the required agility. Big data solutions are not static; they are dynamic platforms that fulfil both current and future storage requirements.

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