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Application for Big Data Visualization using Google BigQuery and Google Charts

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dc.contributor.author Alattas, Reem
dc.contributor.author Lee, Jeongkyu
dc.date.accessioned 2015-04-24T19:59:50Z
dc.date.available 2015-04-24T19:59:50Z
dc.date.issued 2015-03-27
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1173
dc.description Poster also presented at the Northeast Section American Society for Engineering Education 2015 at Northeastern University in Boston, MA on 2015-04-30.
dc.description.abstract Big data visualization conveys information much faster than tables containing numbers and text. Therefore, this poster presents an efficient method for big data visualization on top of Google BigQuery. Google BigQuery is a cloud-based interactive query service for massive datasets built on Dremel. In this project, we used 'natality' dataset that has United States birth data from 1969 to 2008 saved in 137 million rows. For the implementation of dashboard application, we employ Google App Engine using Python and Google Charts with JavaScript. en_US
dc.language.iso en_US en_US
dc.subject Big data en_US
dc.subject Data visualization en_US
dc.title Application for Big Data Visualization using Google BigQuery and Google Charts en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US


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