RDP is a cutting-edge data analytics platform that uses a novel dimensional reduction algorithm to promote optimal use of the growing collection of scientific data. The development of such tools will accelerate scientific discovery and optimize the use of NASA's computational resources, not only by enabling researchers to more effectively analyze and interpret data, but also by facilitating the development of new models and simulations that can lead to groundbreaking discoveries and advancements in a variety of applications important to NASA. Preliminary results show that when applied to a 2.2TB turbulent flow dataset our platform's novel algorithms yield a 60-1000x reduction in download and storage costs and a 10-1000x reduction in computational costs, depending on the desired accuracy in the solution.
This data management and analytics platform will be a cutting-edge framework that enables organizations to manage and analyze large volumes of scientific data with unparalleled efficiency. Built around a novel dimensionality reduction algorithm, the platform will be able to present data in an accessible, queryable format that is optimized for data analytics. Leveraging this platform will allow users to gain insights in real-time, make informed decisions faster, and optimize their operations.