Google Fusion Tables (GFT) is often used by data journalists to create interactive maps that are then embedded in their news articles. These maps offer journalists the ability to overlay large geo-spatial datasets on Google Maps, customize their presentation and combine them with complementary datasets, without needing any software development skills beyond cut-and-paste. More importantly, they do not have to worry about any systems and scalability issues associated with visualizing large datasets nor supporting massive user traffic. In this talk, I will highlight the motivation and design underlying GFT, a web offering that brings easy-to-use data management in the cloud to data enthusiasts. Such users have interesting datasets, but not necessarily the technical expertise to manage their datasets. By relieving our users of the need to deal with systems issues, we let them focus on their storytelling and advocacy, tasks that better suit their interests and make better use of their expertise.
Dr. Jayant Madhavan
is a member of the Structured Data Research group at Google Inc. He is broadly interested in enabling users make better use of structured data on the Web. He is currently the technical lead for Google Fusion Tables, a cloud data management solution. He was the Chief Architect at Transformic Inc., a data integration portal that was acquired by Google. He is a co-recipient of the Ten Year Best Paper Award at VLDB 2011. He received a Ph.D. from the University of Washington in 2005.