Seismic Data Science: Reflection Seismology and Hadoop by Josh Wills.
From the post:
When most people first hear about data science, it’s usually in the context of how prominent web companies work with very large data sets in order to predict clickthrough rates, make personalized recommendations, or analyze UI experiments. The solutions to these problems require expertise with statistics and machine learning, and so there is a general perception that data science is intimately tied to these fields. However, in my conversations at academic conferences and with Cloudera customers, I have found that many kinds of scientists– such as astronomers, geneticists, and geophysicists– are working with very large data sets in order to build models that do not involve statistics or machine learning, and that these scientists encounter data challenges that would be familiar to data scientists at Facebook, Twitter, and LinkedIn.
A nice overview of areas of science using “big data” decades before the current flurry of activity. The use of Hadoop in reflection seismology is only one fuller example of that use.
The take away that I have from this post is that Hadoop skills are going to be in demand across business, science and one would hope, the humanities.
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