Center for Geographic Analysis Harvard University
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Building an Open Source, Real-Time, Billion Object Spatio-Temporal Search Plaform

This project addresses the need to manage real-time streaming flows of Big-Data, and presents a method for storing, indexing, visualizing and querying a test dataset of archived Geo-tweets.  The  Billion Object Platform(BOP) provides a client and API to browse and search the latest 1 billion geotagged tweets (about 3 months range), using an open source stack of Apache Lucene, Solr, Kafka, Zookeeper, and frameworks Swagger, scikit-learn, OpenLayers, and AngularJS. 

Publication Date  July, 2016
Author(s)  Benjamin Lewis, David Strohschein, Paolo Corti, David Smiley
International Workshop on Cloud Computing and Big Data
Publication type  Presentations