pbahra writes: "It seems that the markets are as much in love with “Big Data”—the ability to acquire, process and sort vast quantities of data in real time—as with the technology industry. The first Big Data initial public offering hit the market last week to roaring approval. Splunk Inc., which helps businesses organize and make sense of all the information they gather, soared 109% on its first day of trading. Big Data, big price. However, according to a report published last year by McKinsey, there is a problem. “A significant constraint on realizing value from Big Data will be a shortage of talent, particularly of people with deep expertise in statistics and machine learning, and the managers and analysts who know how to operate companies by using insights from Big Data,” the report said. “We project a need for 1.5 million additional managers and analysts in the United States who can ask the right questions and consume the results of the analysis of Big Data effectively.” What the industry needs is a new type of person: the data scientist."