Its more about how data engineering than it is about data science. Science primarily involves discovering first principles, while engineering involves the use of those principles to consistently deliver useful value. Both are very useful, but you ultimately need more engineers than scientists. Not to say people cannot be both. And its further about the analytics applied to the data to get that value. Via O'Reilly: A look at supporting and related Linkedin data.