Session Recording HereGoogle folder with presentations and other documents Session Chairs: Sudhir Shrestha, Jonathan ONeil, Meenu Gupta
Cloud computing is changing the way we traditionally do computing. Large volumes of data temporally or spatially that are diverse and complex pose challenges in how it is stored, accessed, managed, shared, visualized, and fused for answering many analytical questions. Improving efficiency with the Infrastructure that are demand driven and automated systems of systems that enable the improved access, interoperability and portability of the systems and solutions (Infrastructure-as-Code) that are function driven and cloud optimized, are warranted. For robust deployment and stable service, developing such a framework that allows us to interoperate within systems of systems, scale using cloud computing or high-end computing, and accelerate analyses that are reusable and collaboration agnostic is highly recommended. This scalable framework also supports efficient data-driven approaches such as geospatial intelligence and Artificial Intelligence (AI) to extract valuable information out of large volumes of data and developing information products that supports the decision making process that impacts lives of the people.
This session will focus on use cases on the Infrastructure and migration, Analytics and visualization, Dissemination of data and information products in the cloud. Specifically, this session will explore: (Lightning talk and panel discussion)
- The critical components of scalable cloud computing infrastructure as a service and Infrastructure as code use case within NOAA and beyond
- The current cloud deployment practices
- The critical components of of cloud computing and applications including data ingest, archive, storage, visualization, distribution, modeling and analysis ready data
- How users are consuming large collections of open data from NOAA’s big data program
Presentations:1.
Enabling Continental Scale Inundation Mapping Using Cloud Technologies- Fernando Salas
2.
NESDIS Cloud-sandbox Infrastructure Services (NCIS) and Data Exploitation Services- Manan Dalal
3.
Where to start? Using NOAA’s Data for Machine Learning- Jebb Stewart
