ABSTRACT: We shall discuss the various ways in which data science is approached by different communities, including the Statistics, Machine-Learning, and Database communities.  Each presents a different viewpoint and values different outcomes. Some consequences of these approaches will be discussed. As an example, of why data science is not machine learning, we shall sketch two […]

In this talk, I present the storage systems aspect of the ongoing work on using relatively cheap solid-state secondary storage to replace expensive DRAM for analytics on large amounts of data, using as examples graph analytics and the bioinformatics application somatic mutation finding. Both applications are inherently random access intensive, which is a bad fit […]