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The National Science Foundation (NSF) announced that it will provide $30 million in funding of data science and big data projects under a program grant that they’re calling BIGDATA. Additionally, Amazon AWS, Microsoft Azure and Google Cloud Platform (GCP) are all adding an additional $3 million to the project for cloud services.
Academic computing environments typically optimize for handling scientific simulations that use very little I/O and storage. The environment that is offered by cloud vendors is very different, providing high-data parallelization, intensive I/O and high storage. A combination of these two environments should provide an interesting testbed for future research into data-intensive scientific research.
Erwin Gianchandani, deputy assistant director of CISE, told GCN that “we view the realm of machine learning to process information generated from IoT devices as long-term proposition. We are marrying technologies that are continuously evolving to give researchers the ability to ask new questions based on technology capabilities.”