Enterprises are turning to Hadoop in two major scenarios, according to a recent interview with Todd Goldman, vice president and general manager for enterprise data integration at Informatica:
In general, risk analysis and fraud prevention are often the reason financial services companies and retailers adopt Hadoop. Back in May, Eric Sall, who oversees product marketing for IBM’s Information Management business, included “security” in the top five Big Data enterprise use cases.
“Sall says that more and more organizations are applying Big Data analytics to perimeter security, IT security and fraud prevention,” Silicon Angle reported. “Video footage is processed to identify suspicious activity, and machine logs are scanned to detect analogies that may indicate the presence of an intruder.”
IBM’s other top four uses included:
Goldman added that another broad adoption trend is for medical and pharmaceutical researchers to use Hadoop to analyze all of the data, rather than just samples of the data.
Sramana Mitra’s interview with Goldman is five long pages, which is worth a skim at least. The first two pages mostly focus on Informatica’s own work in the Big Data space, but after that, he talks more generally about Big Data, the emerging Big Data infrastructure, and where he sees room for start-ups.