Federal grant · project grant (b)
Airmettle Inc. Is Transforming Big Data Analytics for Noaa and the Broader Scientific Community With a Real-time Smart Data Lake Solution. Our Innovative Method Utilizes Massively Parallel In-storage Data Processing Within a Versatile Software Defined Storage Framework, Deployable On-premises or as a Cloudbased Service. Building Upon Our Successful Noaa Sbir Phase I Project, We Strive to Improve the Handling of Large, Multi-dimensional NETCDF4 Datasets Vital to Climate and Weather Forecasting. This Project Incorporates On-demand Rescaling, Allowing Users to Directly Load Only the Required Data at Their Desired Resolution From the Storage Service. We Will Validate the Benefits for Climatologists and Enhance the Solution's Commercial Robustness. Our Goal Is to Accelerate Basic Operations by 100X and Reduce the Data Retrieved From Storage by Over 10X for Typical Requests. the Potential Commercial Applications Span Meteorology and Climatology Across Various Sectors, Making It Easier and
Committed
$650,000
Paid out
$490.0K
75%
Committed, not yet paid
$160.0K
25%
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