These specialists, who can supervise the integration of many types of data, find themselves in great demand compared to traditional data analysts.
Big Data Talent War: 10 Analytics Job Trends
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IT managers who have weathered a paradigm shift or two could be forgiven if they haven't taken to heart the many warnings of a critical, impending skills shortage in the market for big-data specialists.
"There are a lot of perceived gaps in available skills in the new technology just because the technology is new and there hasn't been time for people with related skills to become trained in the new one," Hill said. "If a gap continues for a long time it could put upward pressure on salaries, but what usually happens is that companies end up training existing staff and only hire a few people with specialized skills."
The current shortage--or at least the perception of a shortage--becomes more intense when the overall market for IT people heats up, though both hiring and demand for IT skills has been relatively flat during the down economy of the past few years according to U.S. Bureau of Labor Statistics hiring figures.
Within even tepid markets there are geographic or specialty areas in which the job situation is dramatically different than the average for the rest of the IT market, Hill said.
The hot, disruptive technologies of the moment--among which big data is the current leader--is the usual victim of such short-term shortages. And it appears that all big data skills are in short supply.
On a national scale, those aren't large numbers. Compared to the existing supply of new graduates or existing specialists with the right skills, however, it represents a shortage of 50% to 60% even as far into the future as 2018.
Unlike most other disruptive technologies--cloud computing, virtualization, mobile computing, for example--big-data skills require specific talents with data, numbers, and business processes, and long training or retraining periods, McKinsey concluded.
The deeper the needed skills the more intense the talent shortage will be and the longer it will take to fill, the report concluded.
Though the McKinsey report was published in January of 2011, nothing has changed to lessen the intensity of the skills shortage in the time since, according to an April story in The Wall Street Journal quoting both big-data vendors and users.
Particularly sharp is the shortage not of big-data analysts, but data scientists--an imprecise term describing specialists who can not only supervise the integration of many types of data into a single data set and then find within it nuggets of information that could produce dramatic benefits.
Forty-five percent of business intelligence projects fail due to a lack of data expertise on staff, according to an April survey from GigaOm.
Because of the greater degree of difficulty gathering and integrating data, sifting it for answers, and translating the result into knowledge business units can use, it is even more important than in most data-centric projects to have real experts on staff for big-data projects than more run-of-the-mill efforts, according to Mike Boyarski, director of product marketing for business-intelligence/big-data software vendor Jaspersoft.
6 Tools to Protect Big DataMost IT teams have their conventional databases covered in terms of security and business continuity. But as we enter the era of big data, Hadoop, and NoSQL, protection schemes need to evolve. In fact, big data could drive the next big security strategy shift.
Big Data Brings Big Security ProblemsWhy should big data be more difficult to secure? In a word, variety. But the business won’t wait to use it to predict customer behavior, find correlations across disparate data sources, predict fraud or financial risk, and more.
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