For example, he said, genetics related data requires computer-intensive algorithms and because Hadoop can harness the processing power of thousands of computer servers, spotting gene mutations, common patterns and the like can be accomplished in a matter of minutes instead of days or weeks.

Other promises include its low cost, scalability, data storage ease and flexibility, inherent data protection and self-healing capabilities.

"It can help in getting more business in these areas as well as enhance access to other health and science-related information which can used by people," said Chittora, who is in talks with a major healthcare group for Hadoop training.

For healthcare and life science professionals and freshers opting for Hadoop, a regular course would be customised in such a way that learners can correlate with cases in their own field, Chittora pointed out.

One prominent example of its applicability is India's Aadhaar system of biometric authentication, which takes advantage of open-sourced components including Hadoop, said Raju Vanapala, CEO and Founder of Hyderabad's Learn Social.com, a portal that provides instructor-led online courses.

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