"The Myria Big Data Management System and Cloud Service"
Abstract: 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.
Bio: Magdalena Balazinska is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington and the Director of the University of Washington eScience Institute. She's also the director of the IGERT PhD Program in Big Data and Data Science and the director of the associated Advanced Data Science PhD Option. Magdalena's research interests are in the field of database management systems. Her current research focuses on data management for data science, big data systems, 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 the inaugural VLDB Women in Database Research Award (2016), an ACM SIGMOD Test-ofTime Award (2017), 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
AI Seminar Series
Fridays at noon, Amii and the Department of Computing Science host AI Seminars, engaging presentations on topics in the broad field of artificial intelligence. With speakers from the University of Alberta and other world-leading groups, the talks give AI enthusiasts a friendly way of engaging with the latest trends and topics in research and development.
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