Producing “Big Data” Scientists

I wish that I would have attended the Big Data in Higher Education Conference at SUNY last week. Harper Reed @harper, former Obama campaign CTO, was the keynote speaker and according to the Chronicle review, he told it the way it is. ‘Big Data’ is Bunk. His message highlighted how the Obama campaign utilized analytics from “Big Data” to help win the election. And it sounds like he presented how higher education could take advantage of this technology but that the vendors for “Big Data” solutions were using the term “Big” to mostly sell big computers. I agree that we don’t need huge computer resources to utilize “Big Data” analysis concepts. However, we are going to build a Big Data system that probably leans toward an In Memory model. I also realize that higher education rarely utilizes “Big Data” effectively for business or academic advantages but that is a discussion of its own.

Harper also offered some advice in another session, “Data Scientist: the Sexiest Job of the 21st Century,” which hit home for me here at Missouri S&T. We are currently building a new cross discipline program around the buzz term “Big Data”. We have our Business and Information Technology, department contributing to the client end including the tie in to ERP. We have Computer Science and Computer Engineering focusing on the infrastructure, data models, analytic algorithms, programming and visualization needed to produce the kind of data scientists that Harper said he wants to hire. This is why I came to S&T, to help a world class STEM institution create products that can help change the world.

About ghsmith76

Backpacker, Grandfather, Volunteer, Advisor, Mentor and still Technologically Aware. Greg retired as a technologist who served as a Chief Information Officer in Higher Education at various universities. Prior to the IT career in Academia, Greg was a Systems Consultant with Hewlett-Packard. Other early jobs included IT activity in the oil shale and coal mining industries along with owning a computer store in Steamboat Springs, Colorado.

Posted on November 3, 2013, in academic, Big Data, ERP, STEM, technology and tagged , , , , , , . Bookmark the permalink. Leave a comment.

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