%0 Conference Paper %1 Gonzalez2010 %A Gonzalez, Hector %A Halevy, Alon %A Jensen, CS %B SoCC %D 2010 %K cloud_services geo-spatial_data visualization phd %P 175--180 %T Google Fusion Tables: Data Management, Integration and Collaboration in the Cloud %U http://dl.acm.org/citation.cfm?id=1807158 %X Google Fusion Tables is a cloud-based service for data management and integration. Fusion Tables enables users to upload tabular data files (spreadsheets, CSV, KML), cur- rently of up to 100MB. The system provides several ways of visualizing the data (e.g., charts, maps, and timelines) and the ability to filter and aggregate the data. It supports the integration of data from multiple sources by performing joins across tables that may belong to different users. Users can keep the data private, share it with a select set of collabora- tors, or make it public and thus crawlable by search engines. The discussion feature of Fusion Tables allows collaborators to conduct detailed discussions of the data at the level of tables and individual rows, columns, and cells. This paper describes the inner workings of Fusion Tables, including the storage of data in the system and the tight integration with the Google Maps infrastructure. %@ 9781450300360

@inproceedings{Gonzalez2010, abstract = {Google Fusion Tables is a cloud-based service for data management and integration. Fusion Tables enables users to upload tabular data files (spreadsheets, CSV, KML), cur- rently of up to 100MB. The system provides several ways of visualizing the data (e.g., charts, maps, and timelines) and the ability to filter and aggregate the data. It supports the integration of data from multiple sources by performing joins across tables that may belong to different users. Users can keep the data private, share it with a select set of collabora- tors, or make it public and thus crawlable by search engines. The discussion feature of Fusion Tables allows collaborators to conduct detailed discussions of the data at the level of tables and individual rows, columns, and cells. This paper describes the inner workings of Fusion Tables, including the storage of data in the system and the tight integration with the Google Maps infrastructure.}, added-at = {2013-12-17T10:12:42.000+0100}, author = {Gonzalez, Hector and Halevy, Alon and Jensen, CS}, biburl = {https://www.bibsonomy.org/bibtex/22de75a21893cd2b3d8341da3e6144ada/jullybobble}, booktitle = {SoCC}, interhash = {8aa5b0e356a2aaf30073d63dbb95812d}, intrahash = {2de75a21893cd2b3d8341da3e6144ada}, isbn = {9781450300360}, keywords = {cloud_services geo-spatial_data visualization phd}, pages = {175--180}, timestamp = {2014-07-27T15:43:19.000+0200}, title = {{Google Fusion Tables: Data Management, Integration and Collaboration in the Cloud}}, url = {http://dl.acm.org/citation.cfm?id=1807158}, year = 2010 }