Application for Big Data Visualization using Google BigQuery and Google Charts

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Authors
Alattas, Reem
Lee, Jeongkyu
Issue Date
2015-03-27
Type
Presentation
Language
en_US
Keywords
Big data , Data visualization
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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.
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Poster also presented at the Northeast Section American Society for Engineering Education 2015 at Northeastern University in Boston, MA on 2015-04-30.
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