Extensible NcML for AI/ML Ready Data on the THREDDS Data Server
05 August 2024
I would like to begin by saying that this internship has definitely been one of the top highlights of my Ph.D. journey. I spent most of my working hours implementing the idea of server-side virtual data processing. This means that data on the THREDDS Data Servers (TDS) could be virtually processed without actually modifying the data. As such, the data integrity would remain intact, but it could be optimized for ML/AI.
[Read More]My summer with Java: Implementing dataset enhancements on THREDDS Data Server
08 August 2023
During my internship, I worked with the Unidata THREDDS team. My intentions this summer were to learn Java, improve my coding skills, and have experience using it in real world applications. I began my journey by converting existing unit tests for the netCDF-Java library, which is tightly linked to the THREDDS Data Server (TDS) code, to the JUnit Java testing framework. Once I got this practice with Java and had a working development environment, I was able to start working on my summer project.
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