The Data Avalanche in Astrophysics (podcast)
From the post:
On today’s edition of Soundbite, we’ll be talking with Dr. Kirk Borne, Professor of Astrophysics and Computational Science at George Mason University about managing the data avalanche in astronomy.
Borne has been involved in a number of data-intensive astrophysics projects, including data mining on the Galaxy Zoo database of galaxy classifications. We’ll talk about some of his experiences and what challenges lie ahead for astronomy as well what some established and emerging tools, including Graph databases, languages like Python and R, and approaches will lend to his field and big data research in general.
During the podcast, Dr. Borne talks about the rising use of graphs over the last several years on supercomputers to analyze astronomical data.
You’ll get the impression that graphs are not a recent item in high-performance computing. Which just happens to be a correct impression.