Data management jobs on the rise
Big data's rise will change many things for companies, including how they allocate staff. A recent Gartner report found that the coming boost in size and complexity for enterprise data will have a distinct effect on the job market. The research firm predicted that IT sections will find themselves with 4.4 million data-related openings by 2015, many of which could be hard to fill.
The strong demand for workers to deal with big data could alter the way businesses budget for IT salaries. In fact, with so many companies all trying to add professionals with the same narrow pool of skills, the market may experience a serious talent shortage.
"There is not enough talent in the industry. Our public and private education systems are failing us. Therefore, only one-third of the IT jobs will be filled. Data experts will be a scarce, valuable commodity," offered Peter Sondergaard, head of global research with Gartner.
Employee responsibilities will likely evolve as the amount of information in company systems balloons. According to a report by Deltek's GovWin Network, public sector workers with big data in their future will have to contend with new data quality requirements and tactics. Some information, for instance, will likely be usable with no formal cleansing.
The strong demand for workers to deal with big data could alter the way businesses budget for IT salaries. In fact, with so many companies all trying to add professionals with the same narrow pool of skills, the market may experience a serious talent shortage.
"There is not enough talent in the industry. Our public and private education systems are failing us. Therefore, only one-third of the IT jobs will be filled. Data experts will be a scarce, valuable commodity," offered Peter Sondergaard, head of global research with Gartner.
Employee responsibilities will likely evolve as the amount of information in company systems balloons. According to a report by Deltek's GovWin Network, public sector workers with big data in their future will have to contend with new data quality requirements and tactics. Some information, for instance, will likely be usable with no formal cleansing.
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