Managing "Big Data" for Astronomical Data Analysis.
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Physics and Astronomy
Abstract
Astronomy is undergoing a revolution in scale; current databases are a few 10's of TB in size whereas the coming generation of surveys will yield multi-PB of data. These vast datasets provide exciting opportunities, enabling statistical analysis that have been hitherto impossible, but their potential can only be realised if a range of data management challenges can be met. The tools that have served the 1-10TB scale regime will not scale to these larger volumes. During this project we shall assess industry leading big data technologies and their suitability to supporting astronomical data analysis.
Organisations
People |
ORCID iD |
| Dennis Crake (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/S505377/1 | 30/09/2018 | 29/09/2022 | |||
| 2296668 | Studentship | ST/S505377/1 | 30/09/2019 | 30/03/2023 | Dennis Crake |
| ST/T506060/1 | 30/09/2019 | 29/09/2023 | |||
| 2296668 | Studentship | ST/T506060/1 | 30/09/2019 | 30/03/2023 | Dennis Crake |