Concerns over the skills gap for workers capable of dealing with and analyzing big data may be overstated, according to two of the sector's leading companies.
Storage vendor EMC and industry leader Rackspace have both suggested there are plenty of talented staff out there for firms with the ability to source and train them.
Speaking at a big-data roundtable hosted by Rackspace, EMC solutions principal Bernd Kaponig dismissed concerns that as many as 10,000 positions are not likely to be filled by capable workers, reports Computing magazine.
"I think the skills are growing with the demand for the skills, and tools are also getting easier to use and appeal to a broader audience, including management," he explained.
With the technology improving year on year, it is increasingly easy to explain the concept of big data and information analysis to a range of people, especially those who already have some IT expertise.
Rackspace's head of technical product strategy, Toby Owen, admitted there is a slight skills gap within the industry but expressed his optimism for the coming years.
"The demand for 10,000 data scientists may be a little aspirational for some companies who have goals to do this great, big big-data strategy," he posited.
For tech workers looking to find a new position, developing their skills in the big data arena could be a sure-fire way of improving their employability, with a host of firms keen to utilise large amounts of information for predictive and analytic purposes.
DataStax regional channel director, Tim Marston, suggested that companies should not look for the perfect candidate but instead attempt to develop a group of workers who can help leverage their big data technology.
"Look at the data scientist skillset, look at your team, and look at what's required in terms of being able to move it forward, rather than stall yourself on not being able to find this mythical data scientist person," he concluded.