Scientific instruments, environmental sensors, and large-scale simulations are creating more scientific data than ever before. By using advanced, large-scale information processing facilities, scientists are now able to analyze massive volumes of data in ways that never would have been possible just a few years ago. While a few researchers have access to these large computer systems, most are limited by the processing capacity they can access conveniently and quickly. Cloud computing solutions utilizing Microsoft Azure allow environmental science researchers to access the compute and storage resources that they need, when they need them—without the up-front financial investment required—and helps reduce the time between progress and breakthroughs. Microsoft Azure brings on-demand computing and data access to environmental scientists and researchers everywhere.
Areas covered in the session:
- How to move beyond the desktop with cloud computing
- Microsoft Azure for MODIS data processing and visualization with FetchClimate
- Scaling out Matlab computations in the cloud
- Realizing an environmental data, modeling and decision support pipeline in Microsoft Azure
- How Microsoft Azure can help your environmental science research, and what to do next