“The Myria Big Data Management System and Cloud Service”
Many tools exist today for managing increasingly large collections of data. An important challenge, however, is that Big Data management tools must be both fast and easy-to-use. In this talk, we present the Myria system and service that we have developed in the database group at the University of Washington (in collaboration with the eScience Institute). The service is designed to meet the needs of modern data scientists, focusing on performance and productivity. We present an overview of the design of the tool and details on some of its query execution and cloud operation features.
is the Jean Loup Baer Associate Professor of Computer Science and Engineering
at the University of Washington. She's the director of the IGERT PhD Program in
Big Data and Data Science and the director of the associated Advanced Data
Science PhD Option. She's also a Senior Data Science Fellow of the University
of Washington eScience Institute. Magdalena's research interests are in the
field of database management systems. Her current research focuses on big data
management, scientific data management, and cloud computing. Magdalena holds a
Ph.D. from the Massachusetts Institute of Technology (2006). She is a Microsoft
Research New Faculty Fellow (2007), received an NSF CAREER Award (2009), a
10-year most influential paper award (2010), a Google Research Award (2011), an
HP Labs Research Innovation Award (2009 and 2010), a Rogel Faculty Support
Award (2006), a Microsoft Research Graduate Fellowship (2003-2005), and
multiple best-paper awards.