Hadoop Technology: Calling All Mathematicians!
February 26, 2012
Scalability and big data solutions are not simply buzzwords thrown around the search industry. These are both key items in assessing value of platforms, and are both key reasons users are drawn to Hadoop technology.
However, the fact that Hadoop is picking up steam poses a major problem to those attempting to find talent to work the technology. People experienced in Hadoop are hard to come by. Cloudera, IBM, Hortonworks, and MapR are all investing in Hadoop training programs, choosing to invest in internal candidates rather than trying to hire new talent. A related article on CIO.in, “Hadoop Wins Over Enterprise IT, Spurs Talent Crunch” asserts on the topic:
‘We originally thought we needed to find a hardcore Java developer,’ Return Path’s Sautins says. But in reality, the talent that’s best suited for working with Hadoop isn’t necessarily a Java engineer. ‘It’s somebody who can understand what’s going on in the cluster, is interested in picking up some of these tools and figuring out how they work together, and can deal with the fact that pretty much everything in the Hadoop ecosystem is not even a 1.0 release yet,’ Sautins says. ‘That’s a real skill set.’
The problem of finding talent could eventually limit the continued adoption of Hadoop technology. Search analytics is now opening doors for those with deep math skills and backgrounds in statistics and science. People with this basic skills can be taught how to use these tools, and will be very valuable to a great number of companies adopting this technology.
Andrea Hayden, February 26, 2012
Sponsored by Pandia.com
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