Big Data and Its Fry Cooks Who Clean the Grill
April 1, 2016
I read “Clearing Big Data: Most Time Consuming, Least Enjoyable Data Science Task, Survey Says.” A survey?
According to the capitalist tool:
A new survey of data scientists found that they spend most of their time massaging rather than mining or modeling data.
The point is that few wizards want to come to grips with the problem of figuring out what’s wrong with data in a set or a stream and then getting the data into a form that can be used with reasonable confidence.
Those exception folders, annoying, aren’t they?
The write up points that a data scientist spends 80 percent of his or her time doing housecleaning. Skip the job and the house becomes unpleasant indeed.
The survey also reveals that data scientists have to organize the data to be analyzed. Imagine that. The baloney about automatically sucking in a wide range of data does not match the reality of the survey sample.
Another grim bit of drudgery emerges from the sample which we assume was conducted with the appropriate textbook procedures was that the skills most in demand were for SQL. Yep, old school.
Consider that most of the companies marketing next generation data mining and analytics systems never discuss grunt work and old fashioned data management.
Why the disconnect?
My hunch is that it is the sizzle, not the steak, which sells. Little wonder that some analytics outputs might be lab-made hamburger.
Stephen E Arnold, April 1, 2016
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