Big-Data Management Use-Case
Sarah Loebman, Jennifer Ortíz, Lee Lee Choo, Laurel Orr, Lauren Anderson, Daniel Halperin, Magdalena Bałazińska, Thomas Quinn, Fabio Governato · 2014
We present the motivation, design, implementation, and preliminary evaluation for a service that enables astronomers to study the growth history of galaxies by following their `merger trees' in large-scale astrophysical simulations. The service uses the Myria parallel data management system as back-end and the D3 data visualization library within its graphical front-end. We demonstrate the service at the workshop on a ~5TB dataset.