Both the UK and the US have seen a major boost in the use of big data-focused technology over the last few years, with firms from all manner of sectors scrambling to take advantage of the greater analysis and consumer targeting this offers them.
For IT workers, this has meant getting used to a new skill-set, as competition intensifies for people capable of harnessing the undoubted potential of big data.
Mary E Shacklett, president of tech research firm Transworld Data, recently suggested in a blog for ZDNet that the new generation of people moving into the industry need to combine strong analytical skills with a degree of business savvy not always associated with the IT world.
A 2012 survey from analysis firm Information Difference saw 59 per cent of companies admit their overall big data plans are closely linked to their master data repositories, with this information being used as a vector into new queries.
"How companies are actually exploiting their big data, coupled with their continued reliance on enterprise master data, suggests that a 'mixed' skills set might be in order for big data workers," declared Ms Shacklett.
Obviously, this is nothing new - anyone who wants to succeed in the IT sector will be aware they need to maintain several different proficiencies at one time in order to open themselves up to the best opportunities.
However, hard skills involved in big data analysis may differ from what some professionals are used to. These include being able to administer software frameworks like Hadoop, expertise with the use of databases like noSQL, Hbase and Cassandra, and an awareness of data analytics programming languages.
A degree of in-house training should be available for IT technicians keen to brush up on their skills, but those that want to land the big jobs need to be aware of the challenges facing them.
"There are spots on the new 'data science' teams that are evolving in enterprises with room for those well versed in business knowledge and analytics query development," concluded Ms Shacklett.