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Published on Oct 30, 2012
Analytics at Dropbox
Steve Bartel, Dropbox, Inc.
In the internet era, information is distributed across many devices and stored in various locations. Dropbox tackles the task of organizing the information most important to you — your own files. We now have petabytes of data that can be aggregated to gather insights about data storage, access patterns, and more. The first half of this presentation will describe this data set as well as problems we would like to solve in the upcoming years. In the second half, we will open the floor to questions about our experiences, analytics, and Dropbox.
MMDS 2012. Workshop on Algorithms for Modern Massive Data Sets
Stanford University July 10--13, 2012
The Workshops on Algorithms for Modern Massive Data Sets (MMDS 2012) addressed algorithmic and statistical challenges in modern large-scale data analysis. The goals of this series of workshops are to explore novel techniques for modeling and analyzing massive, high-dimensional, and nonlinearly-structured scientific and internet data sets; and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote the cross-fertilization of ideas.